CaReAl: Capturing Read Alignments in a BAM file Rapidly and Conveniently [post]

Yoomi Park, Heewon Seo, Kyunghun Yoo, Ju Han Kim
2020 unpublished
Some of the variants detected by high-throughput sequencing (HTS) is often not reproducible. To minimize the technical-induced artifacts, secondary experimental validation is required but this step is unnecessarily slow and expensive. Thus, developing a rapid and ease to use visualization tool is necessary to systematically review the statuses of sequence read alignments. Here, we developed a high-performance alignment capturing tool, CaReAl, for visualizing the read-alignment status of
more » ... t status of nucleotide sequences and associated genome features. CaReAl is optimized for the systematic exploration of regions of interest by visualizing full-depth read-alignment statuses in a set of PNG files. CaReAl was 7.5 times faster than IGV 'snapshot', the only stand-alone tool which provides automated snapshot of sequence reads. This rapid user-programmable capturing tool is useful for obtaining read-level data for evaluating variant calls and detecting technical biases. The multithreading and sequential wide-genome-range-capturing functionalities of CaReAl aid the efficient manual review and evaluation of genome sequence alignments and variant calls. CaReAl is a rapid and convenient tool for capturing aligned reads in BAM. CaReAl will facilitate the acquisition of highly curated data for obtaining reliable analytic results.
doi:10.21203/rs.3.rs-113235/v1 fatcat:o57pely265hblbycvjadmrz3py