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When running
fds <- countRNAData(settings)
with my own data (ONT bam files), the first steps work ok, but then I get
Mon Aug 29 17:58:49 2022: In total 239257 splice sites (acceptor/donor) will be counted ...
Error in reducer$value.cache[[as.character(idx)]] <- values :
wrong args for environment subassignment
In addition: Warning message:
In parallel::mccollect(wait = FALSE, timeout = 1) :
1 parallel job did not deliver a result
What could be the issue?
Thanks
The text was updated successfully, but these errors were encountered:
Hi, yes, we have seen this happening, most likely due to the program running out of memory. Can you please try rerunning it? If using DROP, use the -k parameter on the snakemake run, and be sure to have recount: FALSE in the config file.
c-mertes
transferred this issue from gagneurlab/FRASER-old-gagneurlab
May 27, 2024
I am having the same error while counting split reads. My input is ~100 bam files with >100M reads each. I tried to run with and without parallelization, and also to allocate more memory. It did not help. Could you advise what I could try or any work arounds?
Hello,
I installed the package on an Ubuntu 22 server.
When running
fds <- countRNAData(settings)
with my own data (ONT bam files), the first steps work ok, but then I get
Mon Aug 29 17:58:49 2022: In total 239257 splice sites (acceptor/donor) will be counted ...
Error in reducer$value.cache[[as.character(idx)]] <- values :
wrong args for environment subassignment
In addition: Warning message:
In parallel::mccollect(wait = FALSE, timeout = 1) :
1 parallel job did not deliver a result
What could be the issue?
Thanks
The text was updated successfully, but these errors were encountered: