Closed mhyleung closed 2 years ago
Hi Marcus, The default output folder will be "METABOLIC_out" as indicated from line 173. Does this file - "METABOLIC_out/All_gene_collections.gene" (the mapping reference for bowtie 2) - exist in your folder? I ask this due to that if it is not the issue of specifying the output address, something can be wrong with the index building step of bowtie 2.
Chao
Dear Chao. Thanks for the quick response.
The All_gene_collections.gene
file is not present in my METABOLIC_out
directory. If that is required for bowtie2-build then I suppose it will not run.
The key now is to figure out which step the All_gene_collections.gene
file is generated. I cannot seem to figure out from the perl script how this file is generated. Thanks
Marcus
Hi Marcus, I made a mistake here - The "All_gene_collections.gene" file will eventually be deleted. It is an intermediate file.
I just tested the command in our server which reported no errors. "All_gene_collections.gene" is the total collection of gene files (all gene files in "~/METABOLIC_test_files/Guaymas_Basin_genome_files"). Maybe you can run bowtie 2 separately to have a test if something is wrong with bowtie 2. Or you can just test your own datasets instead of sticking to using "test" (some small absolute address/sudo right/command line issues would cause problems) mode.
Chao
Hi Chao
So I made an attempt to run METABOLIC-C on my own Nanopore data using the following command. I am running this on an AWS instance. This time, it appears that the All_gene_collections.gene, the corresponding .bam and .sam files were created.
However, soon after I was having trouble accessing the AWS, and it seems like it has crashed my instance, and I had to drop the run. When I restarted it, I notice my log file was generating these crazy output strings when running minimap2. It has this long string of gibberish. I am using minimap2 v2.17-r941
[2022-03-02 15:51:58] Searching MEROPS peptidase...
[2022-03-02 15:52:32] MEROPS peptidase searching is done
[2022-03-02 15:52:33] METABOLIC table has been generated
[2022-03-02 15:52:33] Drawing element cycling diagrams...
sh: -c: line 0: syntax error near unexpected token `&'
sh: -c: line 0: `minimap2 -ax map-ont /data/metabolic/sample106/METABOLIC_C_out_new/All_gene_collections.gene """"""""""""""""""""""""""""""""
""""""""""""""""""#$$$$$'(%%%##$$$%%%%%(/2.-)'&&&$$%$$%%$%%%%%%%%&&%%%$$$$$%%%&%%&&''(&%$$$%%$$$$$$'$$$%%&&%%%&&&%$%$$$#$$$###$%%$$$$#$$$$$$
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I do not know what this output represents. Just wondering if anyone has encountered this before. Thanks!
Regards
Marcus
Hi Marcus, How did you provide your reads to METABOLIC? is it in a txt file? (see this link: https://github.com/AnantharamanLab/METABOLIC/wiki/METABOLIC-Usage#all-required-and-optional-flags) Can just try minimap2 under the METABOLIC environment to do a trouble-shooting?
Chao
Oh silly me! I provided the actual .fastq file for the -r option instead of the .txt file. Sorry my bad. I shall try it again with the .txt file containing the full path to the .fastq file. Thanks
That's all right! Hope it is the only problem, that will be easy!
So this time all but one error came up after the mapping steps:
sambamba: error while loading shared libraries: libphobos2-ldc-shared.so.81: cannot open shared object file: No such file or directory
This error also showed up when I just try to query the version of sambamba within the conda environment
sambamba --version
sambamba: error while loading shared libraries: libphobos2-ldc-shared.so.81: cannot open shared object file: No such file or directory
Seems like I am slowly edging closer to getting this fixed though....I just need to figure out how to get this libphobos2-ldc-shared.so.81 working within sambamba.
EDIT: So, it seems like the original way I installed sambamba within the conda environment of METABOLIC (based on issue #27)
conda install sambamba
Did not work for me because of the error above. Instead, I went to the most recent sambamba package to date on conda i.e. v0.8.1 at time of posting this, and when I tried to check the sambamba version, it worked without error
conda install -c bioconda sambamba
sambamba --version
sambamba 0.8.1
by Artem Tarasov and Pjotr Prins (C) 2012-2021
LDC 1.20.0 / DMD v2.090.1 / LLVM7.0.0 / bootstrap LDC - the LLVM D compiler (0.17.6)
sambamba 0.8.1
by Artem Tarasov and Pjotr Prins (C) 2012-2021
LDC 1.20.0 / DMD v2.090.1 / LLVM7.0.0 / bootstrap LDC - the LLVM D compiler (0.17.6)
I will try METABOLIC again now with this newer version of sambamba.
Cheers
Marcus
It looks like a version problem through this link: https://github.com/bioconda/bioconda-recipes/issues/11422
Haha thanks Chao. I found the potential problem as you mentioned just after I posted the last message. I made an edit above hopefully it can help others in case anyone also encounter similar issues.
Will give an update on the METABOLIC run with this different sambamba version when it is done. Cheers! Marcus
Hi everyone, so with my minimap fixed, I now have this error:
[M::main] Real time: 3863.522 sec; CPU: 11778.136 sec; Peak RSS: 2.720 GB
[2022-03-03 10:32:43] Drawing element cycling diagrams finished
[2022-03-03 10:32:43] Drawing metabolic handoff diagrams...
mv: cannot stat ‘/data2/metabolic/sample106/METABOLIC_C_out_new/newdir/Bar_plot/bar_plot_input_1.pdf’: No such file or directory
mv: cannot stat ‘/data2/metabolic/sample106/METABOLIC_C_out_new/newdir/Bar_plot/bar_plot_input_1.pdf’: No such file or directory
mv: cannot stat ‘/data2/metabolic/sample106/METABOLIC_C_out_new/newdir/Bar_plot/bar_plot_input_2.pdf’: No such file or directory
mv: cannot stat ‘/data2/metabolic/sample106/METABOLIC_C_out_new/newdir/Bar_plot/bar_plot_input_2.pdf’: No such file or directory
[2022-03-03 10:32:44] Drawing metabolic handoff diagrams finished
[2022-03-03 10:32:44] Drawing energy flow chart...
[2022-03-03 10:32:44] INFO: GTDB-Tk v1.7.0
[2022-03-03 10:32:44] INFO: gtdbtk classify_wf --cpus 120 -x fasta --genome_dir /data2/metabolic/sample106/MAG_input --out_dir /data2/metabolic/sample106/METABOLIC_C_out_new/intermediate_files/gtdbtk_Genome_files
[2022-03-03 10:32:44] INFO: Using GTDB-Tk reference data version r202: /data2/metabolic/METABOLIC/gtdbtk_db_r202/release202
[2022-03-03 10:32:44] INFO: Identifying markers in 24 genomes with 120 threads.
[2022-03-03 10:32:44] TASK: Running Prodigal V2.6.3 to identify genes.
[2022-03-03 10:33:22] INFO: Completed 24 genomes in 38.38 seconds (1.60 seconds/genome).
[2022-03-03 10:33:22] TASK: Identifying TIGRFAM protein families.
[2022-03-03 10:33:27] INFO: Completed 24 genomes in 4.67 seconds (5.14 genomes/second).
[2022-03-03 10:33:27] TASK: Identifying Pfam protein families.
[2022-03-03 10:33:28] INFO: Completed 24 genomes in 1.04 seconds (23.18 genomes/second).
[2022-03-03 10:33:28] INFO: Annotations done using HMMER 3.1b2 (February 2015).
[2022-03-03 10:33:28] TASK: Summarising identified marker genes.
[2022-03-03 10:33:28] INFO: Completed 24 genomes in 0.52 seconds (46.41 genomes/second).
[2022-03-03 10:33:28] INFO: Done.
[2022-03-03 10:33:28] INFO: Aligning markers in 24 genomes with 120 CPUs.
[2022-03-03 10:33:29] INFO: Processing 24 genomes identified as bacterial.
[2022-03-03 10:33:31] INFO: Read concatenated alignment for 45,555 GTDB genomes.
[2022-03-03 10:33:31] TASK: Generating concatenated alignment for each marker.
[2022-03-03 10:33:39] INFO: Completed 24 genomes in 0.10 seconds (238.53 genomes/second).
[2022-03-03 10:33:40] TASK: Aligning 120 identified markers using hmmalign 3.1b2 (February 2015).
[2022-03-03 10:33:48] INFO: Completed 120 markers in 0.36 seconds (330.50 markers/second).
[2022-03-03 10:33:48] TASK: Masking columns of bacterial multiple sequence alignment using canonical mask.
[2022-03-03 10:34:46] INFO: Completed 45,579 sequences in 58.18 seconds (783.42 sequences/second).
[2022-03-03 10:34:46] INFO: Masked bacterial alignment from 41,084 to 5,037 AAs.
[2022-03-03 10:34:46] INFO: 6 bacterial user genomes have amino acids in <10.0% of columns in filtered MSA.
[2022-03-03 10:34:46] INFO: Creating concatenated alignment for 45,573 bacterial GTDB and user genomes.
[2022-03-03 10:34:47] INFO: Creating concatenated alignment for 18 bacterial user genomes.
[2022-03-03 10:34:47] INFO: Done.
[2022-03-03 10:34:47] WARNING: Setting pplacer CPUs to 64, as pplacer is known to hang if >64 are used. You can override this using: --pplacer_cpus
[2022-03-03 10:34:47] TASK: Placing 18 bacterial genomes into reference tree with pplacer using 64 CPUs (be patient).
[2022-03-03 10:34:47] INFO: pplacer version: v1.1.alpha19-0-g807f6f3
[2022-03-03 11:06:01] INFO: Calculating RED values based on reference tree.
[2022-03-03 11:06:09] TASK: Traversing tree to determine classification method.
[2022-03-03 11:06:09] INFO: Completed 18 genomes in 0.01 seconds (1,248.20 genomes/second).
[2022-03-03 11:06:09] TASK: Calculating average nucleotide identity using FastANI (v1.32).
[2022-03-03 11:06:15] INFO: Completed 506 comparisons in 5.54 seconds (91.34 comparisons/second).
[2022-03-03 11:06:15] INFO: 0 genome(s) have been classified using FastANI and pplacer.
[2022-03-03 11:06:15] INFO: Done.
mv: cannot stat ‘/data2/metabolic/sample106/METABOLIC_C_out_new/Output_energy_flow/Energy_plot/network.plot.pdf’: No such file or directory
mv: cannot stat ‘/data2/metabolic/sample106/METABOLIC_C_out_new/Output_energy_flow/Energy_plot/network.plot.pdf’: No such file or directory
[2022-03-03 11:06:17] Drawing energy flow chart finished
[2022-03-03 11:06:17] Calculating MW-score ...
[2022-03-03 11:06:17] Calculating MW-score is done
METABOLIC-C was done, the total running time: 02:29:58 (hh:mm:ss)
The network plot figure directory contains no file. Is it because I do not have species-level identification based on GTDB-tk taxonomy?
Thanks
Marcus
Hi Chao
I do have taxonomic classification for all of my MAGs according to gtdbtk.bac120.summary.tsv
file. They just do not have species-level information (e.g. dBacteria;pActinobacteriota;cActinomycetia;oMycobacteriales;fPseudonocardiaceae;g;s__), and the closest reference is N/A for all of them.
As for the sequential transformation files, they seem to be good, as in input1.txt I have some 1s and mostly 0s, whereas input2.txt I have three columns with some integer and decimal values in two of them. They seem alright to me.
Cheers
Marcus
Sorry my bad. I went back to check the output files, and the MC score outputs seem fine. It's just what's missing now are the handoff diagrams, the network, and Sankey plots.
I went back to my METABOLIC_Figures_Input/
directory, and both the input files Functional_network_input.txt
and Metabolic_Sankey_diagram_input.txt
contain information that seem like the run has proceeded successfully.
Given that, in the METABOLIC-C.pl
script, all the commands to generate the handoff/network/Sankey pdfs are R-based, I had the idea of going into the respective Rscripts within METABOLIC directory to try to figure out what is going on. I notice a couple of dependencies of the R library packages are missing or outdated, which might cause the R scripts to not run properly. Let me try to figure this out in the meantime.
Marcus
I have fixed the R dependencies, and METABOLIC-C now works well. Thank you so much for your help through this!
Dear all
I have just recently installed METABOLIC and wanted to run the METABOLIC-C.pl test run with the recommended command
Everything seemed alright until the bowtie2 step. It started with an error related to not specifying an output file, and I suppose all steps requiring bowtie2 seemed to have failed:
I notice in the METABOLIC-C.pl script line 113 the $output should just be the working directory
Is there something regarding the output directory I will need to specify? Thanks
Marcus