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Bam-readcount - rapid generation of basepair-resolution sequence metrics

2022; Open Journals; Volume: 7; Issue: 69 Linguagem: Inglês

10.21105/joss.03722

2475-9066

Ajay Khanna, David E. Larson, Sridhar Nonavinkere Srivatsan, Matthew Mosior, Travis Abbott, Susanna Kiwala, Timothy J. Ley, Eric J. Duncavage, Matthew J. Walter, Jason Walker, Obi L. Griffith, Malachi Griffith, Christopher A. Miller,

Single-cell and spatial transcriptomics

Bam-readcount is a utility for generating low-level information about sequencing data at specific nucleotide positions. Originally designed to help filter genomic mutation calls, the metrics it outputs are useful as input for variant detection tools and for resolving ambiguity between variant callers1,2. In addition, it has found broad applicability in diverse fields including tumor evolution, single-cell genomics, climate change ecology, and tracking community spread of SARS-CoV-2.3-6.