BUG: FastANI and Mash for Rapid Whole Genome Comparison
Bioinformatics Users Group (BUG) Seminar
February 8, 2021
North Carolina State University
Jason M. Whitham
FastANI and Mash for Rapid Whole Genome Comparison
Jason describes using Mash and FastANI to find what appears to be a novel myxobacteria. His computational tests on Henry2, the Linux cluster at NC State, indicate that FastANI is more accurate, but Mash is faster and less memory intensive. Jason demos how to use Mash on Henry2.
About Jason:
Jason studies the microbiome of a super tall grass, Miscanthus xgiganteus, and co-instructs BIT477/577 Metagenomics. Previously he improved blood culture technologies as a Senior Scientist at Becton-Dickinson, and prior to that, was a postdoc at Oak Ridge National Laboratory studying gene expression in microbial biocatalysts.
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About BUG:
The North Carolina State University bioinformatics users group advances science by increasing bioinformatics utilities on computational resources and helps researchers and collaborators troubleshoot and learn to use bioinformatics software. Users share learning journeys with the community to avoid redundant missteps and go further with understanding. Rapid advancements in communal knowledge are made with software seminars, demos, and workshops.
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