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Bayesian analysis of gene essentiality based on sequencing of transposon insertion libraries

Motivation: Next-generation sequencing affords an efficient analysis of transposon insertion libraries, which can be used to identify essential genes in bacteria. To analyse this high-resolution data, we present a formal Bayesian framework for estimating the posterior probability of essentiality for...

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Bibliografiske detaljer
Main Authors: DeJesus, Michael A., Zhang, Yanjia J., Sassetti, Christopher M., Rubin, Eric J., Sacchettini, James C., Ioerger, Thomas R.
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2013
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3597147/
https://ncbi.nlm.nih.gov/pubmed/23361328
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btt043
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