YACHT: Software for an ANI-based statistical test to detect microbial presence/absence in a metagenomic sample

YACHT: Software for an ANI-based statistical test to detect microbial presence/absence in a metagenomic sample - Published in JOSS (2026)

https://github.com/koslickilab/yacht

Science Score: 87.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    Found 1 DOI reference(s) in JOSS metadata
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    Published in Journal of Open Source Software
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JOSS Publication

YACHT: Software for an ANI-based statistical test to detect microbial presence/absence in a metagenomic sample
Published
May 02, 2026
Volume 11, Issue 121, Page 9066
Authors
Maksym Lupei ORCID
School of Electrical Engineering and Computer Science, Pennsylvania State University, United States of America
Shaopeng Liu ORCID
Huck Institutes of the Life Sciences, Pennsylvania State University, United States of America
Chunyu Ma ORCID
School of Electrical Engineering and Computer Science, Pennsylvania State University, United States of America
Adam Park ORCID
School of Electrical Engineering and Computer Science, Pennsylvania State University, United States of America
Omar Hesham Rady ORCID
School of Electrical Engineering and Computer Science, Pennsylvania State University, United States of America
Mahmudur Rahman Hera ORCID
School of Electrical Engineering and Computer Science, Pennsylvania State University, United States of America
Judith S. Rodriguez ORCID
Huck Institutes of the Life Sciences, Pennsylvania State University, United States of America
Stephanie J. Won ORCID
Department of Biology, Pennsylvania State University, United States of America
David Koslicki ORCID
School of Electrical Engineering and Computer Science, Pennsylvania State University, United States of America, Huck Institutes of the Life Sciences, Pennsylvania State University, United States of America, Department of Biology, Pennsylvania State University, United States of America
Editor
Charlotte Soneson ORCID
Tags
c++ metagenomics microbial

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