annotatr: genomic regions in context
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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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- Context (archaeology)
- Computational biology
- Computer science
- Biology
- Genetics
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