zengxiaofei / HapHiC

HapHiC: a fast, reference-independent, allele-aware scaffolding tool based on Hi-C data
https://www.nature.com/articles/s41477-024-01755-3
BSD 3-Clause "New" or "Revised" License
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The maximum number of clusters is even less than the expected number of chromosomes. #37

Closed sip123a closed 3 months ago

sip123a commented 3 months ago

Hello, Dear Developer,

Thank you your effort on developing the HapHiC. I think the problem started in #15 1.The karyotype of the species: 2n=2x=18,plant. 2.My commands are as follows:

contig=XX.hap1_hap2.fa
hicread1=/public/data/quercifolia-XX/HiC/Unknown_BU274-001H0001_good_fastp_1.fq.gz
hicread2=/public/data/quercifolia-XX/HiC/Unknown_BU274-001H0001_good_fastp_2.fq.gz

ln -s $contig asm.fa
ln -s $hicread1 read1_fq.gz
ln -s $hicread2 read2_fq.gz

source /public/home/mambaforge/bin/activate haphic
# (1) Align Hi-C data to the assembly, remove PCR duplicates and filter out secondary and supplementary alignments
# bwa index asm.fa
 bwa mem -t 80 -5SP asm.fa read1_fq.gz read2_fq.gz | samblaster | samtools view - -@ 80 -S -h -b -F 3340 -o HiC.bam

# (2) Filter the alignments with MAPQ 1 (mapping quality ≥ 1) and NM 3 (edit distance < 3)
 filter_bam HiC.bam 1 --nm 3 --threads 80 | samtools view - -b -@ 80 -o HiC.filtered.bam

source /public/home/off/mambaforge/bin/activate haphic

haphic pipeline asm.fa HiC.filtered.bam 18  --RE "AAGCTT" --Nx 100 --min_group_len 1

This is a diploid genome with a low heterozygosity rate, around 0.5%.The XX.hap1_hap2.fa come from:

cat quer.XX.asm.hic.hap1.p_ctg.fa quer.XX.asm.hic.hap2.p_ctg.fa > XX.hap1_hap2.fa

3.And my 01.cluster always erro.When running, the following log is displayed:

cat HapHiC_cluster.log
2024-07-29 17:58:04 <HapHiC_cluster.py> [run] Program started, HapHiC version: 1.0.3 (update: 2024.03.26)
2024-07-29 17:58:04 <HapHiC_cluster.py> [run] Python version: 3.10.14 (main, Mar 21 2024, 16:24:04) [GCC 11.2.0]
2024-07-29 17:58:04 <HapHiC_cluster.py> [detect_format] The file for Hi-C read alignments is detected as being in BAM format
2024-07-29 17:58:04 <HapHiC_cluster.py> [parse_fasta] Parsing input FASTA file...
2024-07-29 17:58:13 <HapHiC_cluster.py> [stat_fragments] Making some statistics of fragments (contigs / bins)
2024-07-29 17:58:13 <HapHiC_cluster.py> [stat_fragments] bin_size is calculated to be 1416101 bp
2024-07-29 17:58:15 <HapHiC_cluster.py> [parse_alignments] Parsing input alignments...
2024-07-29 17:58:35 <HapHiC_cluster.py> [output_pickle] Writing HT_link_dict to HT_links.pkl...
2024-07-29 17:58:36 <HapHiC_cluster.py> [output_clm] Writing clm_dict to paired_links.clm...
2024-07-29 17:58:37 <HapHiC_cluster.py> [filter_fragments] Filtering fragments...
2024-07-29 17:58:37 <HapHiC_cluster.py> [filter_fragments] [Nx filtering] 1333 fragments kept
2024-07-29 17:58:37 <HapHiC_cluster.py> [filter_fragments] [RE sites filtering] 105 fragments removed, 1228 fragments kept
2024-07-29 17:58:37 <HapHiC_cluster.py> [filter_fragments] [link density filtering] Parameter --density_lower 0.2X is set to "multiple" mode and equivalent to 0.6726384364820847 in "fraction" mode
2024-07-29 17:58:37 <HapHiC_cluster.py> [filter_fragments] [link density filtering] Parameter --density_upper 1.9X is set to "multiple" mode and equivalent to 0.9666123778501629 in "fraction" mode
2024-07-29 17:58:37 <HapHiC_cluster.py> [filter_fragments] [link density filtering] 867 fragments removed, 361 fragments kept
2024-07-29 17:58:37 <HapHiC_cluster.py> [filter_fragments] [rank sum filtering] Q1=3402.0, median=3978.0, Q3=4555.0, IQR=Q3-Q1=1153.0
2024-07-29 17:58:37 <HapHiC_cluster.py> [filter_fragments] [rank sum filtering] Parameter --rank_sum_upper 1.5X is set to "multiple" mode and equivalent to 0.9944598337950139 in "fraction" mode
2024-07-29 17:58:37 <HapHiC_cluster.py> [filter_fragments] [rank sum filtering] 2 fragments removed, 359 fragments kept
2024-07-29 17:58:37 <HapHiC_cluster.py> [output_pickle] Writing full_link_dict to full_links.pkl...
2024-07-29 17:58:37 <HapHiC_cluster.py> [run] Hi-C linking matrix was constructed in 32.92142605781555s
2024-07-29 17:58:37 <HapHiC_cluster.py> [run_mcl_clustering] Performing Markov clustering...
2024-07-29 17:58:39 <HapHiC_cluster.py> [mcl] The matrix has converged after 60 rounds of iterations (expansion: 2, inflation: 1.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:39 <HapHiC_cluster.py> [mcl] The matrix has converged after 32 rounds of iterations (expansion: 2, inflation: 1.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:39 <HapHiC_cluster.py> [mcl] The matrix has converged after 23 rounds of iterations (expansion: 2, inflation: 1.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:40 <HapHiC_cluster.py> [mcl] The matrix has converged after 18 rounds of iterations (expansion: 2, inflation: 1.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:40 <HapHiC_cluster.py> [mcl] The matrix has converged after 15 rounds of iterations (expansion: 2, inflation: 1.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:40 <HapHiC_cluster.py> [mcl] The matrix has converged after 13 rounds of iterations (expansion: 2, inflation: 1.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:40 <HapHiC_cluster.py> [mcl] The matrix has converged after 12 rounds of iterations (expansion: 2, inflation: 1.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:40 <HapHiC_cluster.py> [mcl] The matrix has converged after 10 rounds of iterations (expansion: 2, inflation: 1.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:40 <HapHiC_cluster.py> [mcl] The matrix has converged after 10 rounds of iterations (expansion: 2, inflation: 1.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:41 <HapHiC_cluster.py> [mcl] The matrix has converged after 9 rounds of iterations (expansion: 2, inflation: 2.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:41 <HapHiC_cluster.py> [mcl] The matrix has converged after 8 rounds of iterations (expansion: 2, inflation: 2.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:41 <HapHiC_cluster.py> [mcl] The matrix has converged after 10 rounds of iterations (expansion: 2, inflation: 2.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:41 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 2.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:41 <HapHiC_cluster.py> [mcl] The matrix has converged after 10 rounds of iterations (expansion: 2, inflation: 2.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:41 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 2.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:41 <HapHiC_cluster.py> [mcl] The matrix has converged after 9 rounds of iterations (expansion: 2, inflation: 2.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:41 <HapHiC_cluster.py> [mcl] The matrix has converged after 8 rounds of iterations (expansion: 2, inflation: 2.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:41 <HapHiC_cluster.py> [mcl] The matrix has converged after 8 rounds of iterations (expansion: 2, inflation: 2.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:41 <HapHiC_cluster.py> [mcl] The matrix has converged after 8 rounds of iterations (expansion: 2, inflation: 2.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:41 <HapHiC_cluster.py> [mcl] The matrix has converged after 8 rounds of iterations (expansion: 2, inflation: 3.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-29 17:58:41 <HapHiC_cluster.py> [run_mcl_clustering] The maximum number of clusters (1) is even less than the expected number of chromosomes (18). You could try higher inflation.
2024-07-29 17:58:41 <HapHiC_cluster.py> [run] 20 round(s) of Markov clustering finished in 4.332892656326294s, average 0.2166446328163147s per round
2024-07-29 17:58:41 <HapHiC_cluster.py> [output_statistics] Making some statistics for the next HapHiC reassignment step...
2024-07-29 17:59:03 <HapHiC_cluster.py> [run] Program finished in 58.50718808174133s

The HiC.filtered.bam:

 samtools view HiC.filtered.bam | cut -f 1-5 | head -20
LH00330:133:222K77LT4:3:1101:0:19472    81      h1tg000012l     2194749 8
LH00330:133:222K77LT4:3:1101:0:19472    161     h1tg000012l     2194704 8
LH00330:133:222K77LT4:3:1101:0:20479    81      h1tg000012l     1773068 60
LH00330:133:222K77LT4:3:1101:0:20479    161     h1tg000012l     1773006 60
LH00330:133:222K77LT4:3:1101:0:22016    97      h1tg000028l     9173384 8
LH00330:133:222K77LT4:3:1101:0:22016    145     h1tg000028l     9173551 9
LH00330:133:222K77LT4:3:1101:0:22341    81      h1tg000012l     5980285 31
LH00330:133:222K77LT4:3:1101:0:22341    161     h1tg000012l     5980155 39
LH00330:133:222K77LT4:3:1101:0:24216    97      h1tg000024l     4949822 60
LH00330:133:222K77LT4:3:1101:0:24216    145     h1tg000024l     4949948 60
LH00330:133:222K77LT4:3:1101:0:27048    81      h2tg000005l     6148297 8
LH00330:133:222K77LT4:3:1101:0:27048    161     h2tg000005l     6148247 8
LH00330:133:222K77LT4:3:1101:0:27837    97      h2tg000002l     31226689        8
LH00330:133:222K77LT4:3:1101:0:27837    145     h2tg000002l     31226820        8
LH00330:133:222K77LT4:3:1101:0:29062    81      h1tg000028l     4129513 21
LH00330:133:222K77LT4:3:1101:0:29062    161     h1tg000028l     4129420 28
LH00330:133:222K77LT4:3:1101:0:29686    81      h1tg000005l     8032493 1
LH00330:133:222K77LT4:3:1101:0:29686    161     h1tg000005l     8032493 2
LH00330:133:222K77LT4:3:1101:0:31360    81      h2tg000013l     11094454        21
LH00330:133:222K77LT4:3:1101:0:31360    161     h2tg000013l     11094235        60

4.The methods (commands) used for Hi-C read mapping and filtering.

# (2) Filter the alignments with MAPQ 1 (mapping quality ≥ 1) and NM 3 (edit distance < 3)
 filter_bam HiC.bam 1 --nm 3 --threads 80 | samtools view - -b -@ 80 -o HiC.filtered.bam

5.The method used for genome assembly (e.g., hifiasm + Hi-C) and the assembly utilized for scaffolding (e.g., p_ctg, hap.p_ctg or p_utg): I used hap.p_ctg(cat hap1.bp.p_ctg.fa hap2.bp.p_ctg.fa >hap1_hap2.fa) .And I just used bp.p_ctg.fa as contig.fa and the same error was reported that 9 clusters could not be obtained.The same erro outs for using hifiasm + Hi-C to obtain hap*.p_ctg or p_ctg as asm.fa.

6.Statistics for the assembly input into HapHiC

#### base statistics ####
A: 248645956, T: 248880267, C: 133895942, G: 133272425, N: 0
GC%: 0.34937917764005627

#### contig statistics ####
Nx      Number  Length
N10     3       36168237
N20     5       35644004
N30     7       30857360
N40     11      18353511
N50     15      17326354
N60     19      16175814
N70     25      12363138
N80     31      10390621
N90     60      668910
longest contig: 38426148, shortest contig: 17553
total number: 877, total length: 764694590

#### scaffold statistics ####
Nx      Number  Length
N10     3       36168237
N20     5       35644004
N30     7       30857360
N40     11      18353511
N50     15      17326354
N60     19      16175814
N70     25      12363138
N80     31      10390621
N90     60      668910
longest scaffold: 38426148, shortest scaffold: 17553
total number: 877, total length: 764694590

#### gapless scaffold statistics ####
Nx      Number  Length
N10     3       36168237
N20     5       35644004
N30     7       30857360
N40     11      18353511
N50     15      17326354
N60     19      16175814
N70     25      12363138
N80     31      10390621
N90     60      668910
longest gapless scaffold: 38426148, shortest gapless scaffold: 17553
total number: 877, total length: 764694590

I tried to use hap1 or p_ctg.fa to run haphic pipeline defulat,But in the first step 01.cluster reported an error that the number of clustering groups was less than the number of nchr. The hifiasm +hic log file and fa_detail file are as follows: HapHiC_cluster_hifiasm(hic)_pctg.log asm.hic.p_ctg_fa_detail.log

Then,I After I add the following parameters, the output 02.reassign interrupts the operation. The log file is as follows: HapHiC_cluster.log HapHiC_reassign.log

How should I adjust the parameters? Thank you again.

zengxiaofei commented 3 months ago

In short, you can try higher --max_inflation values or visualize the results using juicebox or haphic plot after scaffolding in quick view mode, as discussed in FAQs:

How can I do when I see "It seems that some chromosomes were grouped together" in the clustering step?

The question is complicated. HapHiC recommends a "best" inflation parameter based on the nchrs you specified and the distribution of group lengths. Several factors could cause this problem.

(1) The --max_inflation parameter is too low. Try increasing it. The default value of --max_inflation 3.0 is generally enough. However, sometimes the best inflations are even greater than 7.0 due to a higher background of Hi-C links between chromosomes (We encountered this in the taro genome). This could be due to biological specificity or low quality of the Hi-C library. In rare cases, if a higher --max_inflation still doesn't work, try using quick view and manually splitting chromosomes in Juicebox.

(2) Some homologous chromosomes may be grouped together due to assembly errors. This is common in scaffolding phased assemblies. Please use more aggressive parameters to correct contigs, filter out contigs, or remove Hi-C links between homologous chromosomes. If you are unsure about the type or the proportion of assembly errors, a quick view may be helpful.

(3) When the chromosome lengths vary greatly, HapHiC may mistake a large chromosome for two or more chromosomes clustered together. In this case, you can choose a reasonable inflation and run the remaining steps individually.

Other concerns:

2024-07-29 17:58:13 [stat_fragments] bin_size is calculated to be 1416101 bp 2024-07-29 17:58:15 [parse_alignments] Parsing input alignments... 2024-07-29 17:58:35 [output_pickle] Writing HT_link_dict to HT_links.pkl...

The BAM file was traversed by HapHiC within only 20 seconds, indicating that there could not be enough Hi-C links after filtering.

I used hap.p_ctg(cat hap1.bp.p_ctg.fa hap2.bp.p_ctg.fa >hap1_hap2.fa) .And I just used bp.p_ctg.fa as contig.fa and the same error was reported that 9 clusters could not be obtained.The same erro outs for using hifiasm + Hi-C to obtain hap.p_ctg or p_ctg as asm.fa.

When you used other assemblies for HapHiC scaffolding, did you realigned Hi-C reads to these assemblies?

sip123a commented 3 months ago

Thanks for your quick reply.

In short, you can try higher --max_inflation values or visualize the results using juicebox or haphic plot after scaffolding in quick view mode, as discussed in FAQs:

I try --max_inflation 10 or 30,the result is same erro. My commands as follow:

haphic pipeline asm.fa HiC.filtered.bam 9  --RE "AAGCTT" --Nx 100 --min_group_len 1 --max_inflation 30  --correct_nrounds 2

The log file as follow:

2024-07-31 15:54:49 <HapHiC_cluster.py> [detect_format] The file for Hi-C read alignments is detected as being in BAM format
2024-07-31 15:54:49 <HapHiC_cluster.py> [run] Ultra-long data are not supported now when assembly correction is enabled
2024-07-31 15:54:49 <HapHiC_cluster.py> [parse_fasta] Parsing input FASTA file...
2024-07-31 15:54:56 <HapHiC_cluster.py> [parse_bam_for_correction] Parsing input BAM file for contig correction...
2024-07-31 15:58:41 <HapHiC_cluster.py> [correct_assembly] Performing assembly correction...
2024-07-31 15:58:47 <HapHiC_cluster.py> [correct_assembly] Correction round 1, breakpoints are detected in 0 contig(s)
2024-07-31 15:58:47 <HapHiC_cluster.py> [correct_assembly] Generating corrected assembly file...
2024-07-31 15:58:47 <HapHiC_cluster.py> [correct_assembly] No corrected contigs were found. Simply create a symbolic link of the input assembly
2024-07-31 15:58:50 <HapHiC_cluster.py> [stat_fragments] Making some statistics of fragments (contigs / bins)
2024-07-31 15:58:50 <HapHiC_cluster.py> [stat_fragments] bin_size is calculated to be 1437512 bp
2024-07-31 15:58:51 <HapHiC_cluster.py> [parse_alignments] Parsing input alignments...
2024-07-31 16:02:44 <HapHiC_cluster.py> [output_pickle] Writing HT_link_dict to HT_links.pkl...
2024-07-31 16:02:46 <HapHiC_cluster.py> [output_clm] Writing clm_dict to paired_links.clm...
2024-07-31 16:03:17 <HapHiC_cluster.py> [filter_fragments] Filtering fragments...
2024-07-31 16:03:17 <HapHiC_cluster.py> [filter_fragments] [Nx filtering] 713 fragments kept
2024-07-31 16:03:17 <HapHiC_cluster.py> [filter_fragments] [RE sites filtering] 44 fragments removed, 669 fragments kept
2024-07-31 16:03:17 <HapHiC_cluster.py> [filter_fragments] [link density filtering] Parameter --density_lower 0.2X is set to "multiple" mode and equivalent to 0.6352765321375187 in "fraction" mode
2024-07-31 16:03:17 <HapHiC_cluster.py> [filter_fragments] [link density filtering] Parameter --density_upper 1.9X is set to "multiple" mode and equivalent to 1.0 in "fraction" mode
2024-07-31 16:03:17 <HapHiC_cluster.py> [filter_fragments] [link density filtering] 425 fragments removed, 244 fragments kept
2024-07-31 16:03:17 <HapHiC_cluster.py> [filter_fragments] [rank sum filtering] Q1=246.75, median=302.0, Q3=445.25, IQR=Q3-Q1=198.5
2024-07-31 16:03:17 <HapHiC_cluster.py> [filter_fragments] [rank sum filtering] Parameter --rank_sum_upper 1.5X is set to "multiple" mode and equivalent to 0.9262295081967213 in "fraction" mode
2024-07-31 16:03:17 <HapHiC_cluster.py> [filter_fragments] [rank sum filtering] 18 fragments removed, 226 fragments kept
2024-07-31 16:03:17 <HapHiC_cluster.py> [output_pickle] Writing full_link_dict to full_links.pkl...
2024-07-31 16:03:17 <HapHiC_cluster.py> [run] Hi-C linking matrix was constructed in 507.7380452156067s
2024-07-31 16:03:17 <HapHiC_cluster.py> [run_mcl_clustering] Performing Markov clustering...
2024-07-31 16:03:18 <HapHiC_cluster.py> [mcl] The matrix has converged after 52 rounds of iterations (expansion: 2, inflation: 1.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:18 <HapHiC_cluster.py> [mcl] The matrix has converged after 28 rounds of iterations (expansion: 2, inflation: 1.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:18 <HapHiC_cluster.py> [mcl] The matrix has converged after 20 rounds of iterations (expansion: 2, inflation: 1.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 16 rounds of iterations (expansion: 2, inflation: 1.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 13 rounds of iterations (expansion: 2, inflation: 1.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 12 rounds of iterations (expansion: 2, inflation: 1.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 11 rounds of iterations (expansion: 2, inflation: 1.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 10 rounds of iterations (expansion: 2, inflation: 1.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 9 rounds of iterations (expansion: 2, inflation: 1.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 9 rounds of iterations (expansion: 2, inflation: 2.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 8 rounds of iterations (expansion: 2, inflation: 2.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 8 rounds of iterations (expansion: 2, inflation: 2.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 2.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 2.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 2.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:19 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 2.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 2.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 2.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 2.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 3.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 3.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 3.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 3.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 3.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 3.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 3.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 3.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 3.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 3.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 4.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 4.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 4.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 4.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 4.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 4.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 4.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 4.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:20 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 4.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 4.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 5.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 5.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 5.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 5.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 5.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 5.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 5.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 5.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 5.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 9 rounds of iterations (expansion: 2, inflation: 5.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 6.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 6.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 6.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 6.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 8 rounds of iterations (expansion: 2, inflation: 6.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 6.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 6.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 6.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 6.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 6.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 7.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:21 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 7.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 7.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 7.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 7.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 7.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 7.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 7.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 7.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 7.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 8.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 8.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 8.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 8.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 8.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 8.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 8.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 8.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 8.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 8.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 9.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 9.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 9.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 9.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:22 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 9.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 9.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 9.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 9.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 9.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 7 rounds of iterations (expansion: 2, inflation: 9.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 10.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 10.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 10.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 10.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 10.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 10.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 10.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 10.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 10.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 10.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 11.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 11.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 11.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 11.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 11.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 11.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 11.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:23 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 11.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 11.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 11.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 12.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 12.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 12.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 12.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 12.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 12.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 12.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 12.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 12.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 12.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 13.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 13.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 13.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 13.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 13.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 13.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 13.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 13.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 13.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 13.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:24 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 14.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 14.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 14.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 14.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 14.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 14.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 14.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 14.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 14.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 14.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 15.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 15.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 15.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 15.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 15.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 15.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 15.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 15.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 15.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 15.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 16.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 16.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:25 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 16.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 16.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 16.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 16.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 16.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 16.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 16.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 16.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 17.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 17.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 17.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 17.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 17.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 17.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 17.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 17.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 17.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 17.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 18.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 18.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 18.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:26 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 18.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 18.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 18.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 18.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 18.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 18.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 18.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 19.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 19.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 19.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 19.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 19.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 6 rounds of iterations (expansion: 2, inflation: 19.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 19.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 19.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 19.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 4 rounds of iterations (expansion: 2, inflation: 19.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 20.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 20.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 20.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 20.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 20.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 20.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 20.5 will NOT be output
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 4 rounds of iterations (expansion: 2, inflation: 20.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 20.6 will NOT be output
2024-07-31 16:03:27 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 20.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:27 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 20.7 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 5 rounds of iterations (expansion: 2, inflation: 20.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 20.8 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 4 rounds of iterations (expansion: 2, inflation: 20.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 20.9 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 4 rounds of iterations (expansion: 2, inflation: 21.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 21.0 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 21.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 21.1 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 21.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 21.2 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 4 rounds of iterations (expansion: 2, inflation: 21.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 21.3 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 4 rounds of iterations (expansion: 2, inflation: 21.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 21.4 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 21.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 21.5 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 21.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 21.6 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 4 rounds of iterations (expansion: 2, inflation: 21.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 21.7 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 21.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 21.8 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 21.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 21.9 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 22.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 22.0 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 22.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 22.1 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 22.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 22.2 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 22.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 22.3 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 22.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 22.4 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 22.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 22.5 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 22.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 22.6 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 22.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 22.7 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 22.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 22.8 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 22.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 22.9 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 23.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 23.0 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 23.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 23.1 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 23.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 23.2 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 23.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 23.3 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 23.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 23.4 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 23.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 23.5 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 23.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 23.6 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 23.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 23.7 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 23.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 23.8 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 23.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 23.9 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 24.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 24.0 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 24.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 24.1 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 24.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 24.2 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 24.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 24.3 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 24.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 24.4 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 24.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 24.5 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 24.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 24.6 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 24.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 24.7 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 24.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 24.8 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 24.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 24.9 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 25.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 25.0 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 25.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 25.1 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 25.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 25.2 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 25.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 25.3 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 25.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 25.4 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 25.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 25.5 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 25.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 25.6 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 25.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 25.7 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 25.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 25.8 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 25.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 25.9 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 26.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 26.0 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 26.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 26.1 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 26.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 26.2 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 26.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 26.3 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 26.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 26.4 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 26.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 26.5 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 26.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 26.6 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 26.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 26.7 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 26.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 26.8 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 26.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 26.9 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 27.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 27.0 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 27.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 27.1 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 27.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 27.2 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 27.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 27.3 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 27.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 27.4 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 27.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 27.5 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 27.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 27.6 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 27.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 27.7 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 27.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 27.8 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 27.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 27.9 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 28.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 28.0 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 28.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 28.1 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 28.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 28.2 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 28.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 28.3 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 28.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 28.4 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 28.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 28.5 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 28.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 28.6 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 28.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 28.7 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 28.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 28.8 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 28.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 28.9 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 29.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 29.0 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 29.1, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 29.1 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 29.2, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 29.2 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 29.3, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 29.3 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 29.4, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 29.4 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 29.5, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 29.5 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 29.6, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 29.6 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 29.7, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 29.7 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 29.8, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 29.8 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 29.9, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 29.9 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [mcl] The matrix has converged after 3 rounds of iterations (expansion: 2, inflation: 30.0, maximum iterations: 200, pruning threshold: 0.0001)
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] Some fragments are missing / redundant, result of inflation 30.0 will NOT be output
2024-07-31 16:03:28 <HapHiC_cluster.py> [run_mcl_clustering] The maximum number of clusters (6) is even less than the expected number of chromosomes (9). You could try higher inflation.
2024-07-31 16:03:28 <HapHiC_cluster.py> [run] 290 round(s) of Markov clustering finished in 11.413401365280151s, average 0.03935655643200052s per round
2024-07-31 16:03:28 <HapHiC_cluster.py> [output_statistics] Making some statistics for the next HapHiC reassignment step...
2024-07-31 16:05:44 <HapHiC_cluster.py> [run] Program finished in 654.3100605010986s

There are updates to asm.fa when using p_ctg as contig.fa.The results of running haphic quick on p_ctg as contig.fa are as follows: image

Is it because the contig is complete enough and the N50 is long enough , so there is no need to perform the haphic cluster function and just manually adjust it? But I want to try the correct function of haphic to adjust the assembly errors of contig. From the current quick heatmap display of my genome, if I get the correct function directly, should I run it directly and then manually adjust the heatmap in juicebox? haphic pipeline asm.fa HiC.filtered.bam nchrs --quick_view --correct_nrounds 2 thank you.

zengxiaofei commented 3 months ago

According to your contact map, it appears that the background Hi-C signals are too strong and the chromosome territories are not clear. I'm not sure whether this observation arises from biological specificity or the quality of the Hi-C library. This is the reason why HapHiC cannot cluster these contigs correctly. However, you can still adjust the ordering and orientation of contigs and establish the chromosome boundaries in Juicebox manually based on the results of quick view mode.

But I want to try the correct function of haphic to adjust the assembly errors of contig. From the current quick heatmap display of my genome, if I get the correct function directly, should I run it directly and then manually adjust the heatmap in juicebox?

I don't quite understand this question. If you want to enable assembly correction when using the quick view mode, your command is correct.

sip123a commented 3 months ago

Thanks for your quick answer. I added the correction command --correct_nrounds 2 and no new corrected_asm.fa was generated. Maybe as you said, the background hic signal is very strong and the correction function also does not work. I can only make manual adjustments in juicebox.

zengxiaofei commented 3 months ago

Typically hifiasm does not produce many chimeric contigs. This implies that while strong background Hi-C signals may decrease the detection rate of misjoins, it is also common for haphic to be unable to identify any chimeric contigs.

sip123a commented 3 months ago

Thank you for your answer. My hic data alignment result as follows, using hicpro for align. Haphic's inability to perform clustering should be due to species as you said.


Unmapped_pairs  3179792 2.359
Low_qual_pairs  52015861        38.596
Unique_paired_alignments        66917323        49.653
Multiple_pairs_alignments       0       0.0
Pairs_with_singleton    12656876        9.391
Low_qual_singleton      0       0.0
Unique_singleton_alignments     0       0.0
Multiple_singleton_alignments   0       0.0
Reported_pairs  66917323        49.653```
zengxiaofei commented 3 months ago

These statistics do not provide a complete assessment of the quality of the Hi-C library. They do not necessarily indicate whether the chromatin has been effectively cross-linked by formaldehyde or whether the genomic DNAs have been efficiently digested and ligated.