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I am running chrombpnet on a large multiome dataset. For this we have clusterwise bams for which we generated macs2 narrowpeaks and then generated a consensus peak set of 357200 peaks with intersectbed. We were then able to run chrombpnet successfully till the main modeling step. Bias model was run using the largest cluster's bam.
However for many of the clusters, the contribution step times out - even when running on A100 gpus with a 7 day run time limit. I am not seeing any obvious pattern.... some large clusters finish while some do not, along with some really small ones never finishing while a few similarly sized ones small ones easily finish. Is there any other way to speed this step?
The text was updated successfully, but these errors were encountered:
I tried a run using one of our bam files and a smaller set of correlated peaks - 126666 peaks from the original 357200. It only managed to process 56700 peaks from 126666 and the job got killed at the end of the 4 day time limit.
Here are the logs from that run - these log files look similar to the ones we had before
Hi Anushri and other authors.
I am running chrombpnet on a large multiome dataset. For this we have clusterwise bams for which we generated macs2 narrowpeaks and then generated a consensus peak set of 357200 peaks with intersectbed. We were then able to run chrombpnet successfully till the main modeling step. Bias model was run using the largest cluster's bam.
However for many of the clusters, the contribution step times out - even when running on A100 gpus with a 7 day run time limit. I am not seeing any obvious pattern.... some large clusters finish while some do not, along with some really small ones never finishing while a few similarly sized ones small ones easily finish. Is there any other way to speed this step?
The text was updated successfully, but these errors were encountered: