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Request: Cohort analysis #93
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Dear @adbeggs, I think having a simple, basic report for a sample cohort would not require too much work. That said, I would ideally like some input in terms of what you consider most valuable in such a report. Importantly, when present with multiple samples, it brings forward a whole new set of opportunities for analysis (consider e.g. what is offered by maftools, which by nature is looking at multiple samples). best, |
I think similar to maftools - which I have used as well. Your report is very close to the one that the 100,000 Genomes project produces in the UK and that is excellent - I was wondering about a tiered germline module as well, as this would be useful as well? Also the ability to input CNA as VCF files rather than segmentation as lots of callers are moving towards this (I am thinking Canvas in particular) |
Thanks for the feedback. Will definitely look into having CNA fed as VCF, I certainly agree this would be handy for several people. For tiered germline variants, I have developed a stand-alone workflow (building upon PCGR) in a separate repository: Cancer Predisposition Sequencing Reporter (CPSR). Among other things, CPSR utilizes >35 different (cancer) gene panels curated through the Genomics England PanelApp. Example report here. best, |
Hi Andrew, |
Sure - try this - it is from the Illumina Canvas caller. I've been using your pipeline for Nanopore Promethion WGS data too and it works well! |
Also, SV integration would also be useful - we've used Manta for Illumina calls and Sniffles for Nanopore... happy to supply data from these as well. We've tried to write our own pipeline but when we found yours it seemed rather like reinventing the wheel! |
Hi, Just released 0.9.0, and also included a FAQ section, where I make a few comments regarding multi-sample analysis, and that structural variants should be supported in the future. Will try to work on the VCF-based copy number calling (if time permits). best, |
Hi there, Thanks for making this amazing tool, we are often doing multiregional sequencing where a cohort is actually just one patient, Being able to merge (without losing the extra dimension) the data table would be of great use in this scenario. An UPSET plot would be a nice visualization of this. Best, |
Hi Wouter, kind regards, |
Thanks for the great tool - very useful! Do you think there would be any chance of a summary HTML across a cohort of samples that have been through PCGR?
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