Inference of Quantitative Models of Bacterial Promoters from Time-Series Reporter Gene Data

The inference of regulatory interactions and quantitative models of gene regulation from time-series transcriptomics data has been extensively studied and applied to a range of problems in drug discovery, cancer research, and biotechnology. The application of existing methods is commonly based on im...

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Detalles Bibliográficos
Autores principales: Stefan, Diana, Pinel, Corinne, Pinhal, Stéphane, Cinquemani, Eugenio, Geiselmann, Johannes, de Jong, Hidde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295839/
https://www.ncbi.nlm.nih.gov/pubmed/25590141
http://dx.doi.org/10.1371/journal.pcbi.1004028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4295839/
https://www.ncbi.nlm.nih.gov/pubmed/25590141
http://dx.doi.org/10.1371/journal.pcbi.1004028

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