Improving the Analytical Flexibility of bedtools
Aaron Quinlan (University of Utah)
To improve the flexibility and utility of bedtools for large-scale genomic analyses.
bedtools is essential to genomics research as it empowers users to apply “genome arithmetic” concepts to analyses of genome intervals. bedtools is used ubiquitously in genome biology studies, having over 400,000 downloads and over 13,000 citations. This proposal seeks to improve bedtools by creating pipelines for more complicated, frequently-used analyses, creating new “short course” tutorials, and implementing the “block bootstrap” approach for measuring genomic enrichments.