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

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 caller...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8328062/
https://www.ncbi.nlm.nih.gov/pubmed/34341766
Descripción
Sumario: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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