Author: Khanna, Ajay; Larson, David E.; Srivatsan, Sridhar Nonavinkere; Mosior, Matthew; Abbott, Travis E.; Kiwala, Susanna; Ley, Timothy J.; Duncavage, Eric J.; Walter, Matthew J.; Walker, Jason R.; Griffith, Obi L.; Griffith, Malachi; Miller, Christopher A.
Title: Bam-readcount - rapid generation of basepair-resolution sequence metrics Cord-id: mvu3cz50 Document date: 2021_7_27
ID: mvu3cz50
Snippet: 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 callers(1,2). 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).
Document: 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 callers(1,2). 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).
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