HAYSTAC: A Bayesian framework for robust and rapid species identification in high-throughput sequencing data (2022)
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1371/journal.pcbi.1010493
PubMed Identifier: 36178955
Publication URI: http://europepmc.org/abstract/MED/36178955
Type: Journal Article/Review
Parent Publication: PLOS Computational Biology
Issue: 9
ISSN: 1553-734X