Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction

The binding and contribution of transcription factors (TF) to cell specific gene expression is often deduced from open-chromatin measurements to avoid costly TF ChIP-seq assays. Thus, it is important to develop computational methods for accurate TF binding prediction in open-chromatin regions (OCRs)...

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Detalles Bibliográficos
Autores principales: Schmidt, Florian, Gasparoni, Nina, Gasparoni, Gilles, Gianmoena, Kathrin, Cadenas, Cristina, Polansky, Julia K., Ebert, Peter, Nordström, Karl, Barann, Matthias, Sinha, Anupam, Fröhler, Sebastian, Xiong, Jieyi, Dehghani Amirabad, Azim, Behjati Ardakani, Fatemeh, Hutter, Barbara, Zipprich, Gideon, Felder, Bärbel, Eils, Jürgen, Brors, Benedikt, Chen, Wei, Hengstler, Jan G., Hamann, Alf, Lengauer, Thomas, Rosenstiel, Philip, Walter, Jörn, Schulz, Marcel H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Computational Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5224477/
https://www.ncbi.nlm.nih.gov/pubmed/27899623
http://dx.doi.org/10.1093/nar/gkw1061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5224477/
https://www.ncbi.nlm.nih.gov/pubmed/27899623
http://dx.doi.org/10.1093/nar/gkw1061

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