Corpus ID: 236447791

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

@article{Khanna2021BamreadcountR,
  title={Bam-readcount - rapid generation of basepair-resolution sequence metrics},
  author={Ajay Khanna and David E. Larson and Sridhar Nonavinkere Srivatsan and Matthew Mosior and Travis E. Abbott and Susanna Kiwala and Timothy J. Ley and Eric J. Duncavage and Matthew J. Walter and Jason R. Walker and Obi L. Griffith and Malachi Griffith and Christopher A. Miller},
  journal={ArXiv},
  year={2021}
}
Summary: 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… Expand

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