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Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression
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Journal articlePermalink
https://hdl.handle.net/10161/19608Published Version (Please cite this version)
10.1186/s12859-019-3156-zPublication Info
(2019). Statistical analysis of variability in TnSeq data across conditions using zero-inflated
negative binomial regression. BMC Bioinformatics, 20(1). 10.1186/s12859-019-3156-z. Retrieved from https://hdl.handle.net/10161/19608.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Clare Smith
Assistant Professor of Molecular Genetics and Microbiology
The Smith Lab are interested in host genetic diversity, bacterial variation, and how
these host-pathogen genetic interactions drive tuberculosis disease states.Systems
Genetics of Tuberculosis: We leverage host diversity in mice and macrophages from
wild-derived mouse strains and diverse mouse panels, including the Collaborative Cross
and BXD mammalian resources. In parallel, we define the bacterial genetic requi
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