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SUMMARY Despite the improvement in variant detection algorithms, visual inspection of the read-level data remains an essential step for accurate identification of variants in genome analysis. We developed BamSnap, an… Click to show full abstract
SUMMARY Despite the improvement in variant detection algorithms, visual inspection of the read-level data remains an essential step for accurate identification of variants in genome analysis. We developed BamSnap, an efficient BAM file viewer utilizing a graphics library and BAM indexing. In contrast to existing viewers, BamSnap can generate high-quality snapshots rapidly, with customized tracks and layout. As an example, we produced read-level images at 1000 genomic loci for >2500 whole-genomes. AVAILABILITY BamSnap is freely available at https://github.com/parklab/bamsnap. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Journal Title: Bioinformatics
Year Published: 2021
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