Cargando…
An improved statistical method to identify chemical-genetic interactions by exploiting concentration-dependence
Chemical-genetics (C-G) experiments can be used to identify interactions between inhibitory compounds and bacterial genes, potentially revealing the targets of drugs, or other functionally interacting genes and pathways. C-G experiments involve constructing a library of hypomorphic strains with esse...
Autores principales: | Dutta, Esha, DeJesus, Michael A., Ruecker, Nadine, Zaveri, Anisha, Koh, Eun-Ik, Sassetti, Christopher M., Schnappinger, Dirk, Ioerger, Thomas R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8486102/ https://www.ncbi.nlm.nih.gov/pubmed/34597304 http://dx.doi.org/10.1371/journal.pone.0257911 |
Ejemplares similares
-
Statistical analysis of variability in TnSeq data across conditions using zero-inflated negative binomial regression
por: Subramaniyam, Siddharth, et al.
Publicado: (2019) -
A dose-response based model for statistical analysis of chemical genetic interactions in CRISPRi libraries
por: Choudhery, Sanjeevani, et al.
Publicado: (2023) -
Chemical–genetic interaction mapping links carbon metabolism and cell wall structure to tuberculosis drug efficacy
por: Koh, Eun-Ik, et al.
Publicado: (2022) -
Statistical analysis of genetic interactions in Tn-Seq data
por: DeJesus, Michael A., et al.
Publicado: (2017) -
Genome-wide gene expression tuning reveals diverse vulnerabilities of M. tuberculosis
por: Bosch, Barbara, et al.
Publicado: (2021)