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Program stalled/zombified #15
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Hi @oushujun, |
Hello @dportik, The log file looks very normal except the program stopped processing reads and sequences. Below are the current tasks and all of them show 0-0.1% of CPU usage. The node is pretty idle, so there should be plenty of resources.
Shujun |
Hi @oushujun ,
Your log file is reporting:
Those are not chromosomal coordinates, those are HiFi reads. Is this an unaligned BAM file? |
This is an aligned BAM file, except I use HiFi reads to align to themselves, so that I can call CpGs for each read, as a workaround for #11. Previously I used I had similar stalled experiences before for normal genome alignments, and restarting the job usually would solve the issue. But this time no matter how many times I restarted the job, or changed to different nodes, it just didn't work. Shujun |
I have this issue in some of the other genomes too. Some genomes were also stalled in the middle of the run without any more progress, while some were running in much lower CPU% and were very slow to finish (eg, a run that could be finished in two hours but took 3 days instead). Maybe it's due to the presence of contigs/sequences shorter than the window size? Or due to the presence of low-coverage sequences? For analyses of genomes, the stalling issue could be resolved by restarting the analyses. Could you help to check if there are any codes causing the low CPU stalling issue? |
Thanks @oushujun, unfortunately I don't think we can scope in this use-case. |
Hello,
I ran
aligned_bam_to_cpg_scores.py
on aligned reads and it got stalled after a few seconds. A few sequences were finished indicated by the log file and no more output. Taskmaster checking shows 0% CPU usage and low memory usage. I killed the program, removed the log file, changed to different nodes, and rerun the program, still the same. What could be the cause and how to solve it?python ~/bin/pb-CpG-tools/aligned_bam_to_cpg_scores.py -b HiFi.CpG.aln.bam -f test.fa -o test --pileup_mode count --modsites reference --min_coverage 4 --min_mapq 1 --threads 20
Thanks,
Shujun
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