Authors
Ajay Khanna, David E Larson, Sridhar Nonavinkere Srivatsan, Matthew Mosior, Travis E Abbott, Susanna Kiwala, Timothy J Ley, Eric J Duncavage, Matthew J Walter, Jason R Walker, Obi L Griffith, Malachi Griffith, Christopher A Miller
Publication date
2021/7/27
Journal
ArXiv
Publisher
ArXiv
Description
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.
Total citations
Scholar articles
A Khanna, DE Larson, SN Srivatsan, M Mosior… - ArXiv, 2021