How to best recover from a "too many erroneous kmers" error in an automated way #841
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Hello! I have a pipeline that runs spades 3.15.2 with If a smaller For example, recently the pipeline crashed because My output directory looked as follows:
Is there any file that I can use to continue running the downstream analysis that I could select programmatically? Or is the only way to rescue this run by completely rerunning spades but this time dropping the problematic kmer size (99) and running spades with Thanks for any advice! |
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Replies: 3 comments 3 replies
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How does it "crash"? Can you attach your spades.log? There is no automagical way to recover as there might be many reasons for this, e.g,. low / uneven coverage, contamination, excessive error rate, etc. |
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So, everything is quite clear. The log reads:
And indeed, you're running k-mer length 99, however:
There is easy solution: just stick to the default options. And ensure your data is of enough coverage |
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Sure. We do not suggest changing settings (include the set of k-mers) unless you 100% sure what you're doing and what might be an outcome. Just stick to the defaults. |
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Sure. We do not suggest changing settings (include the set of k-mers) unless you 100% sure what you're doing and what might be an outcome. Just stick to the defaults.