Comments (1)
I'm not sure how well kevlar would work for this out-of-the-box. For much of our previous testing, we saw a large number of false positives until we started masking e.g. segmental duplications. So depending on where the true duplications/expansions you're looking for are located, there is likely an important sensitivity/specificity trade-off you would need to investigate.
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Related Issues (20)
- Bug with log-space transformation
- Command or script for inspecting ambiguous calls
- MemoryError HOT 3
- Execution failed due to high FPR in case HOT 4
- Failed tests HOT 8
- Dead links to tutorial files HOT 3
- Empty files produced by kevlar split cause crash of kevlar assemble HOT 3
- python 3.6 install - pytest failures - 26 failed, 347 passed (pytest 5.3.5?) HOT 5
- Tutorial: Error on running kevlar filter HOT 9
- Clarification - how to avoid high FPR HOT 3
- kevlar memory error HOT 2
- partition, node error HOT 3
- Controls for simlike HOT 2
- VCF Parsing Issue HOT 1
- Where is kevlar? HOT 3
- How to just get the Kmer?
- Kevlar novel multithreading HOT 2
- count_control error: estimated false positive rate is 0.385 (FPR too high, bailing out!!! HOT 5
- > 30,000 variants reported from trio-analysis with FPR 0.001? HOT 6
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