Statistical analysis of genetic interactions in Tn-Seq data.

DeJesus, Michael A; Nambi, Subhalaxmi; Smith, Clare M; Baker, Richard E; Sassetti, Christopher M; Ioerger, Thomas R

DeJesus, Michael A; Nambi, Subhalaxmi; Smith, Clare M; Baker, Richard E; Sassetti, Christopher M; Ioerger, Thomas R.

Afiliación

DeJesus MA; Department of Computer Science, Texas A&M University, College Station, TX 77843, USA.
Nambi S; Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, 55 Lake Avenue N., Worcester, MA 01655, USA.
Smith CM; Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, 55 Lake Avenue N., Worcester, MA 01655, USA.
Baker RE; Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, 55 Lake Avenue N., Worcester, MA 01655, USA.
Sassetti CM; Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, 55 Lake Avenue N., Worcester, MA 01655, USA.
Ioerger TR; Department of Computer Science, Texas A&M University, College Station, TX 77843, USA.

Nucleic Acids Res ; 45(11): e93, 2017 Jun 20.

Article en En | MEDLINE | ID: mdl-28334803

Asunto(s)

Epistasis Genética; Genes Bacterianos; Análisis de Secuencia de ADN/métodos; Algoritmos; Proteínas Bacterianas/genética; Teorema de Bayes; Elementos Transponibles de ADN; Interpretación Estadística de Datos; Frecuencia de los Genes; Técnicas de Inactivación de Genes; Biblioteca de Genes; Modelos Genéticos; Método de Montecarlo; Mutagénesis Insercional; Mycobacterium tuberculosis/genética

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Análisis de Secuencia de ADN / Epistasis Genética / Genes Bacterianos Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: Nucleic Acids Res Año: 2017 Tipo del documento: Article

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