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SortMeRNA low mem params #105
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Dev -> master for v1.1.0
…. Any rRNA hit is enough to characterise read as rRNA not RPF. This should lower memory usage and address some user reported errors.
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Warning Newer version of the nf-core template is available. Your pipeline is using an old version of the nf-core template: 3.2.0. For more documentation on how to update your pipeline, please see the nf-core documentation and Synchronisation documentation. |
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pinin4fjords
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Sounds reasonable, approving. Perhaps we can see how well this works in this pipeline for a while, and then deploy in rnaseq if we don't have issues.
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Thanks for looking into this — |
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Hi @iraiosub, I take your point that rRNA subtype might change but my intuition (which is often wrong) would be that the high identity required for a alignment would mean we would be getting the right subtype regardless. I also checked with this branch versus I also suspect the reason this has less frequently come up for nf-core/rnaseq is that the rRNA content is significantly different between these two data types. Also, perhaps this goes agsinst my point above but, since the reads are longer in RNA-Seq multimapping of rRNA reads is less common? Regardless, not going to merge until we are at an agreement. I can of course make this an option if its preferred but don't have a tonne of time at the moment. |
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FWIW I do get queries along these lines fairly frequently for SortMeRNA in rnaseq |
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Thanks for the thoughtful reply @JackCurragh! Just to clarify — this is already configurable via |
…. Any rRNA hit is enough to characterise read as rRNA not RPF. This should lower memory usage and address some user reported errors on slack and [#81].
PR checklist
nf-core pipelines lint).nextflow run . -profile test,docker --outdir <OUTDIR>).nextflow run . -profile debug,test,docker --outdir <OUTDIR>).docs/usage.mdis updated.docs/output.mdis updated.CHANGELOG.mdis updated.README.mdis updated (including new tool citations and authors/contributors).