Closed sip123a closed 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?
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:
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.
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.
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.
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.
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```
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.
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:
This is a diploid genome with a low heterozygosity rate, around 0.5%.The XX.hap1_hap2.fa come from:
3.And my 01.cluster always erro.When running, the following log is displayed:
The HiC.filtered.bam:
4.The methods (commands) used for Hi-C read mapping and filtering.
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
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.