software . 2018

S22S: Accurate Reference-Free Somatic Variant-Calling by Integrating Genomic, Sequencing and Population Data

Name: S22S: Accurate Reference-Free Somatic Variant-Calling by Integrating Genomic, Sequencing and Population Data
Keywords: Capsule, Bioinformatics, FOS: Computer and information sciences, snv, single-nucleotide-variants, reference-free, variant-caller, random-forest

Sun, Ren X; Lalansingh, Christopher M.; Shadrielle Melijah G. Espiritu; Yao, Cindy Q.; Yamaguchi, Takafumi N.; Stephenie D. Prokopec; Szyca, Lesia; Houlahan, Kathleen E.; Heisler, Lawrence E.; Black, Morgan; ...

View all 14 authors

English

Published: 01 Jan 2018

Publisher: Code Ocean

Summary
Supplementary outcomes

Abstract

S22S is a single-sample somatic SNV selector that employs a random forest model to predict whether a variant called without a matched normal sample is likely to be somatic or not. It integrates features from the VCF file, BAM file and population frequencies from publicly-available sources to make predictions.

Persistent Identifiers

doi: 10.24433/co.72f69384-a515-4dc2-9d77-7926cec122b0

Subjects

free text keywords: Capsule, Bioinformatics, FOS: Computer and information sciences, snv, single-nucleotide-variants, reference-free, variant-caller, random-forest

Funded by

NSERC, CIHR

Download from

Code Ocean

Software . 2018

Provider: Datacite

Outcomes Supplemented by this software

2018
Accurate Reference-Free Somatic Variant-Calling by Integrating Genomic, Sequencing and Population Data

Any information missing or wrong?Report an Issue