BamSnap: a lightweight viewer for sequencing reads in BAM files

التفاصيل البيبلوغرافية
العنوان: BamSnap: a lightweight viewer for sequencing reads in BAM files
المؤلفون: Min-Seok Kwon, Chong Chu, Michele Berselli, Peter J. Park, Soohyun Lee
المصدر: Bioinformatics
بيانات النشر: Oxford University Press, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Statistics and Probability, 0303 health sciences, Information retrieval, Computer science, 030302 biochemistry & molecular biology, Search engine indexing, Locus (genetics), Biochemistry, Genome, Applications Notes, Computer Science Applications, 03 medical and health sciences, Computational Mathematics, Identification (information), Computational Theory and Mathematics, File viewer, Molecular Biology, 030304 developmental biology
الوصف: 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.
اللغة: English
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb6bde448f7a5ec4582bd57f04ccdd2c
https://europepmc.org/articles/PMC8055225/
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....eb6bde448f7a5ec4582bd57f04ccdd2c
قاعدة البيانات: OpenAIRE