Best: A Tool for Characterizing Sequencing Errors
Abstract
Platform-dependent sequencing errors must be understood to develop more accurate sequencing technologies. We propose a new tool, best (Bam Error Stats Tool), for efficiently analyzing and summarizing error types in sequencing reads. best ingests reads aligned to a high-quality reference assembly and produces per-read stats, overall stats, stats for specific genomic intervals, etc. 27 times faster than a previous tool. best has applications in quality control of sequencing runs and evaluating approaches for improving sequencing accuracy.
Research Areas
