@article {1574952, title = {BamSnap: a lightweight viewer for sequencing reads in BAM files}, journal = {Bioinformatics}, volume = {37}, number = {2}, year = {2021}, month = {2021 Jan 08}, pages = {263-4}, 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.}, issn = {1367-4811}, doi = {10.1093/bioinformatics/btaa1101}, author = {Kwon, Minseok and Lee, Soohyun and Berselli, Michele and Chu, Chong and Park, Peter J} }