VariantQC: a visual quality control report for variant evaluation

Volume: 35, Issue: 24, Pages: 5370 - 5371
Published: Jul 16, 2019
Abstract
Summary Large scale genomic studies produce millions of sequence variants, generating datasets far too massive for manual inspection. To ensure variant and genotype data are consistent and accurate, it is necessary to evaluate variants prior to downstream analysis using quality control (QC) reports. Variant call format (VCF) files are the standard format for representing variant data; however, generating summary statistics from these files is...
Paper Details
Title
VariantQC: a visual quality control report for variant evaluation
Published Date
Jul 16, 2019
Volume
35
Issue
24
Pages
5370 - 5371
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.