Closed guosongjia closed 3 years ago
@guosongjia I am not sure what the issue is from looking at the above stacktrace. Could you run the command that failed directly? This might show a more detailed error message.
python3 -m deepconsensus.preprocess.merge_datasets \
--input_bam=/home/data/vip21/jgs/test_deepconsensus/subreads_to_ccs.bam \
--input_unaligned_bam=/home/data/vip21/jgs/test_deepconsensus/subreads.bam \
--output_path=/home/data/vip21/jgs/test_deepconsensus/1_merge_datasets \
--inference=true
@gunjanbaid
Thanks for your reply~\
I have tried several times after submitting this issue but all failed. I feel this error may be caused by the lack of memory.\
I run this program on our bioinformatic server which has about 640Gb MEM. I keep tracking the MEM usage of the software in top
page and found that 1_merge_datasets
was unable to finish until it occupied about 620Gb MEM. Our server administrator designed a program to kill those programs automatically when it consuming more than 90% MEM.\
The MEM consuming strategy of the software currently is not user-friendly for most users major in bioinformatics. I hope it will be optimized in the following releases.\
Best,\
Guo-Song
Hi @guosongjia, definitely, the team is working on improving usability of the software. We hope to have a solution that works for you soon.
Dear all,\ I'm a PhD student working with a series of Pacbio CCS reads and I noticed the release of the preprint paper of the
deepconsensus
. This tool can improve the correctness of CCS reads generated frompbccs
. I installed it on our lab server and met with the following error when using it:My
ccs.fasta
file s about 800Mb, mysubreads_to_ccs.bam
file is 8.9Gb, and mysubreads.bam
is about 28Gb.\ Can anyone help me to solve this problem?\ Best,\ Guo-Song