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Future Research
Nicole Ortogero edited this page Jun 28, 2019
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6 revisions
- Align molecule and consensus sequences against WT and all variants, retain best PID
- Adjust output of off-target barcode table to fit Joe's input
- Skip single molecule seq and consensus - i.e. combine all feature bc events for a gene and do alignment with all features combined
- Ability to handle RNA
- Metrics for minimum difference between counts/diversity required to make a base call
- QC Metrics for each base
- Probability scores for resolution of multi-mapped reads and tricky indels
- Implement above to improve resolution of real indel vs inadequate coverage
- Will improve VCF output
- Alignment parameter tuning
- Customize settings per probe set?
- Based on empirical testing
- Indel realignment strategy
- Flag indels
- Determine probability of proper indel placement
- Locally align around area
- If the consensus is the best way to return a sequence, than an error rate for a target seq will not be reported on a single molecule level.
- Need to separate out variant from reference consensus for error collapsing regardless of the error calc method
- Right now I believe error rate to variant bases are ignored, limited to only supervised and not translatable to required outputs.