Suggestions to reduce storage ？？？

[bitcometz]

When running this software at the above step, it consumes a significant amount of disk storage at this step.
Are there any parameters that can reduce the size of the generated files?

Thanks !!!

[lingfeiwang]

Hi bitcometz. Thank you for informing us of the challenge. Unfortunately the files are needed. One option is to use a custom google compute instance for colab. I don't know if colab pro still offers larger disks. Alternatively, is it possible to run the tutorial in conventional non-colab settings?

[bitcometz]

Hi， thanks for your quick reply !!!
Or dictys could offer a parameter just like chr list.
For example, if I just want to do one chromosome at one time to save the disk storage?
Or Should I first split the bam file into many chr files? ......

Thanks for developing this great tool !
However, its high resource requirements limit its usage, especially when dealing with large amounts of cellular data or multiple samples.

[lingfeiwang]

Actually 200GB disk does not seem a high resource requirement to me even for a personal laptop. Unfortunately bioinformatics is a wide field and we cannot optimize every aspect of bioinformatics with just one software. If you are willing to contribute with a more efficient script to split the bam files and post it on github, we are happy to refer to it for people with large datasets.