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BamSnap: a lightweight viewer for sequencing reads in BAM files
Minseok Kwon1, Soohyun Lee1, Michele Berselli1
1Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA.
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 And Implementation:
BamSnap is freely available at https://github.com/parklab/bamsnap.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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