CaReAl: capturing read alignments in a BAM file rapidly and conveniently

CaReAl: capturing read alignments in a BAM file rapidly and conveniently

Blog Article

Abstract Some of the variants detected by high-throughput sequencing (HTS) are often not reproducible.To minimize the technical-induced artifacts, secondary experimental validation is required but this poise pads in bulk step is unnecessarily slow and expensive.Thus, developing a rapid and easy 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 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 echofix spring reverb faster than IGV ‘snapshot’, the only stand-alone tool which provides an 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 facilitates the acquisition of highly curated data for obtaining reliable analytic results.