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StratoMod: Predicting sequencing and variant calling errors with interpretable machine learning

2023-01-21

Abstract excerpt

Despite the variety in sequencing platforms, mappers, and variant callers, no single pipeline is optimal across the entire human genome. Therefore, developers, clinicians, and researchers need to make tradeoffs when designing pipelines for their application. Currently, assessing such tradeoffs relies on intuition about how a certain pipeline will perform in a given genomic context. We present Stratomod, which addr...

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Identifiers and source

Literature Corpus work
28e37d8d-cfdf-54a9-82d1-6fac6da32740
DOI
10.1101/2023.01.20.524401
Open publication

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StratoMod: Predicting sequencing and variant calling errors with interpretable machine learningDOI 10.1101/2023.01.20.524401
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