articleBioinformaticsMar 28, 2017BRONZE OA

annotatr: genomic regions in context

University of Michigan

PubMed
Indexed incrossrefdoajpubmed

Abstract

MOTIVATION: Analysis of next-generation sequencing data often results in a list of genomic regions. These may include differentially methylated CpGs/regions, transcription factor binding sites, interacting chromatin regions, or GWAS-associated SNPs, among others. A common analysis step is to annotate such genomic regions to genomic annotations (promoters, exons, enhancers, etc.). Existing tools are limited by a lack of annotation sources and flexible options, the time it takes to annotate regions, an artificial one-to-one region-to-annotation mapping, a lack of visualization options to easily summarize data, or some combination thereof. RESULTS: We developed the annotatr Bioconductor package to flexibly and…

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Topics & keywords

Keywords
  • Context (archaeology)
  • Computational biology
  • Computer science
  • Biology
  • Genetics
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