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PyAmpli: an amplicon-based variant filter pipeline for targeted resequencing data.


ABSTRACT: Haloplex targeted resequencing is a popular method to analyze both germline and somatic variants in gene panels. However, involved wet-lab procedures may introduce false positives that need to be considered in subsequent data-analysis. No variant filtering rationale addressing amplicon enrichment related systematic errors, in the form of an all-in-one package, exists to our knowledge.We present pyAmpli, a platform independent parallelized Python package that implements an amplicon-based germline and somatic variant filtering strategy for Haloplex data. pyAmpli can filter variants for systematic errors by user pre-defined criteria. We show that pyAmpli significantly increases specificity, without reducing sensitivity, essential for reporting true positive clinical relevant mutations in gene panel data.pyAmpli is an easy-to-use software tool which increases the true positive variant call rate in targeted resequencing data. It specifically reduces errors related to PCR-based enrichment of targeted regions.

SUBMITTER: Beyens M 

PROVIDER: S-EPMC5729461 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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pyAmpli: an amplicon-based variant filter pipeline for targeted resequencing data.

Beyens Matthias M   Boeckx Nele N   Van Camp Guy G   Op de Beeck Ken K   Vandeweyer Geert G  

BMC bioinformatics 20171214 1


<h4>Background</h4>Haloplex targeted resequencing is a popular method to analyze both germline and somatic variants in gene panels. However, involved wet-lab procedures may introduce false positives that need to be considered in subsequent data-analysis. No variant filtering rationale addressing amplicon enrichment related systematic errors, in the form of an all-in-one package, exists to our knowledge.<h4>Results</h4>We present pyAmpli, a platform independent parallelized Python package that im  ...[more]

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