ProkEvo: an automated, reproducible, and scalable framework for high-throughput bacterial population genomics analyses

ProkEvo: an automated, reproducible, and scalable framework for high-throughput bacterial population genomics analyses

Whole Genome Sequence (WGS) data from bacterial species is used for a variety of applications ranging from basic microbiological research, diagnostics, and epidemiological surveillance. The availability of WGS data from hundreds of thousands of individual isolates of individual microbial species pos...

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Bibliographic Details
Main Authors: Natasha Pavlovikj, Joao Carlos Gomes-Neto, Jitender S. Deogun, Andrew K. Benson
Format: Article
Language:English
Published: PeerJ Inc. 2021-05-01
Series:PeerJ
Subjects:
Bacteria
Population-genomics
Pan-genome
High-performance computing
High-throughput computing
Scalability
Online Access:https://peerj.com/articles/11376.pdf

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https://peerj.com/articles/11376.pdf

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