Statistical modelling of bacterial promoter sequences for regulatory motif discovery with the help of transcriptome data: application to <i>Listeria monocytogenes</i>.

Sultan, Ibrahim; Fromion, Vincent; Schbath, Sophie; Nicolas, Pierre

Statistical modelling of bacterial promoter sequences for regulatory motif discovery with the help of transcriptome data: application to Listeria monocytogenes.

Sultan, Ibrahim; Fromion, Vincent; Schbath, Sophie; Nicolas, Pierre.

Affiliation

Sultan I; Université Paris-Saclay, INRAE, MaIAGE, Jouy-en-Josas, France.
Fromion V; Université Paris-Saclay, INRAE, MaIAGE, Jouy-en-Josas, France.
Schbath S; Université Paris-Saclay, INRAE, MaIAGE, Jouy-en-Josas, France.
Nicolas P; Université Paris-Saclay, INRAE, MaIAGE, Jouy-en-Josas, France.

J R Soc Interface ; 17(171): 20200600, 2020 10.

Article in En | MEDLINE | ID: mdl-33023397

Subject(s)
Key words

DNA motifs; Markov chain Monte Carlo; bacteria; transcriptional regulatory network; transcriptomics

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Listeria monocytogenes Type of study: Health_economic_evaluation / Risk_factors_studies Language: En Journal: J R Soc Interface Year: 2020 Document type: Article Affiliation country: Francia Country of publication: Reino Unido

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