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Using combination of DeepSomatic and Deepvariant to call variants in cancer cell lines. #42
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DeepSomatic inherently filters a lot of "germline-looking" variants in the pre-processing step. So you can't reliably use DeepSomatic for germline variant calling. Please use DeepVariant strictly for all Germline calls. PASS for somatic makes sense.
This is OK, however DeepVariant is not trained for somatic variants. So a lot of high-frequency somatic variants will be called. So be careful about merging the variants.
Yes, I believe this would give you the best result if you come up with the best logic on how to combine the callset. For example, if DeepSomatic calls something somatic and it's also called in DV, then take the call as somatic and not germline. |
Thanks @kishwarshafin! HepG2 (Hepatocellular Carcinoma) DeepVariant PASS calls: 4,534,909 K562 (Chronic Myeloid Leukemia) DeepVariant PASS calls: 4,438,294 Caki2 (Clear Cell Renal Cell Carcinoma) DeepVariant PASS calls: 4,050,603 |
Very hard to tell this way but it does look reasonable I think? Specially the germline numbers. |
Thanks @kishwarshafin! I am closing this issue now. |
Hi All,
We are currently trying to use both Deepvariant and Deepsomatic to identify the genotype of both germline and somatic variants from the cancer cell lines: K562, CaKi2, Hepg2. However, from the ENCODE description it looks like we do not have paired normal. So, our current pipeline is the following:
Can you please suggest if we need to alter our pipeline? Or is there a better way to get the germline and somatic calls?
Many thanks!
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