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VARIFI-Web-Based Automatic Variant Identification, Filtering and Annotation of Amplicon Sequencing Data.


ABSTRACT: Fast and affordable benchtop sequencers are becoming more important in improving personalized medical treatment. Still, distinguishing genetic variants between healthy and diseased individuals from sequencing errors remains a challenge. Here we present VARIFI, a pipeline for finding reliable genetic variants (single nucleotide polymorphisms (SNPs) and insertions and deletions (indels)). We optimized parameters in VARIFI by analyzing more than 170 amplicon-sequenced cancer samples produced on the Personal Genome Machine (PGM). In contrast to existing pipelines, VARIFI combines different analysis methods and, based on their concordance, assigns a confidence score to each identified variant. Furthermore, VARIFI applies variant filters for biases associated with the sequencing technologies (e.g., incorrectly identified homopolymer-associated indels with Ion Torrent). VARIFI automatically extracts variant information from publicly available databases and incorporates methods for variant effect prediction. VARIFI requires little computational experience and no in-house compute power since the analyses are conducted on our server. VARIFI is a web-based tool available at varifi.cibiv.univie.ac.at.

SUBMITTER: Krunic M 

PROVIDER: S-EPMC6463100 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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VARIFI-Web-Based Automatic Variant Identification, Filtering and Annotation of Amplicon Sequencing Data.

Krunic Milica M   Venhuizen Peter P   Müllauer Leonhard L   Kaserer Bettina B   von Haeseler Arndt A  

Journal of personalized medicine 20190201 1


Fast and affordable benchtop sequencers are becoming more important in improving personalized medical treatment. Still, distinguishing genetic variants between healthy and diseased individuals from sequencing errors remains a challenge. Here we present VARIFI, a pipeline for finding reliable genetic variants (single nucleotide polymorphisms (SNPs) and insertions and deletions (indels)). We optimized parameters in VARIFI by analyzing more than 170 amplicon-sequenced cancer samples produced on the  ...[more]

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