SCiMS: Sex Calling in Metagenomic Sequences
Hanh N. Tran, Kobie J. Kirven, Emily Davenport
SCiMS predicts host chromosomal sex from metagenomic data, outperforming existing tools at low host coverage and across species.
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Pennsylvania State UniversityORCID 0000-0002-0563-9490Unclaimed ORCID profile · follow to get notified of new preprints
4 papers
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Hanh N. Tran, Kobie J. Kirven, Emily Davenport
SCiMS predicts host chromosomal sex from metagenomic data, outperforming existing tools at low host coverage and across species.
Erica P. Ryu, Cheryl A. Keller, Robert G. Nichols…·Emily Davenport
The paper identifies region-specific host-microbiome associations in the human intestine using transcriptomic and microbiome data from non-inflamed tissue.
Yonas I. Tekle, Hanh N. Tran, Fang Wang…·Isimeme N. Udu
The paper uses integrated omics to study Trichosphaerium, revealing its complete meiosis toolkit, sexual-like processes, and high gene trafficking from giant viruses.
Yonas I. Tekle, Fang Wang, Hanh N. Tran…·Joseph F. Ryan
This paper presents a draft genome of Cochliopodium minus, revealing lateral gene transfers and meiosis-related genes, and insights into its sexual behavior.