Quantification of Differential Transcription Factor Activity and Multiomics-Based Classification into Activators and Repressors: diffTF

Ivan Berest; Christian Arnold; Armando Reyes-Palomares; Giovanni Palla; Kasper Dindler Rasmussen; Holly Giles; Peter-Martin Bruch; Wolfgang Huber; Sascha Dietrich; Kristian Helin; Judith B Zaugg

doi:10.1016/j.celrep.2019.10.106

Quantification of Differential Transcription Factor Activity and Multiomics-Based Classification into Activators and Repressors: diffTF

Ivan Berest, Christian Arnold, Armando Reyes-Palomares, Giovanni Palla, Kasper Dindler Rasmussen, Holly Giles, Peter-Martin Bruch, Wolfgang Huber, Sascha Dietrich, Kristian Helin, Judith B Zaugg

6 Citations (Scopus)

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Abstract

Berest et al. present a computational tool (diffTF) to estimate differential TF activity and classify TFs into activators or repressors. It requires active chromatin data (accessibility/ChIP-seq) and integrates with RNA-seq for classification. The authors apply it to two case studies (CLL and hematopoietic differentiation) and validate their predictions experimentally.

Original language	English
Journal	Cell Reports
Volume	29
Issue number	10
Pages (from-to)	3147-3159.e12
Number of pages	25
ISSN	2211-1247
DOIs	https://doi.org/10.1016/j.celrep.2019.10.106
Publication status	Published - 3 Dec 2019

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Quantification of Differential Transcription FactorFinal published version, 4.11 MBLicence: CC BY

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Berest, I., Arnold, C., Reyes-Palomares, A., Palla, G., Rasmussen, K. D., Giles, H., Bruch, P-M., Huber, W., Dietrich, S., Helin, K., & Zaugg, J. B. (2019). Quantification of Differential Transcription Factor Activity and Multiomics-Based Classification into Activators and Repressors: diffTF. Cell Reports, 29(10), 3147-3159.e12. https://doi.org/10.1016/j.celrep.2019.10.106

Berest, I, Arnold, C, Reyes-Palomares, A, Palla, G, Rasmussen, KD, Giles, H, Bruch, P-M, Huber, W, Dietrich, S, Helin, K & Zaugg, JB 2019, 'Quantification of Differential Transcription Factor Activity and Multiomics-Based Classification into Activators and Repressors: diffTF', Cell Reports, vol. 29, no. 10, pp. 3147-3159.e12. https://doi.org/10.1016/j.celrep.2019.10.106

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author = "Ivan Berest and Christian Arnold and Armando Reyes-Palomares and Giovanni Palla and Rasmussen, {Kasper Dindler} and Holly Giles and Peter-Martin Bruch and Wolfgang Huber and Sascha Dietrich and Kristian Helin and Zaugg, {Judith B}",

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AU - Palla, Giovanni

AU - Rasmussen, Kasper Dindler

AU - Giles, Holly

AU - Bruch, Peter-Martin

AU - Huber, Wolfgang

AU - Dietrich, Sascha

AU - Helin, Kristian

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AB - Berest et al. present a computational tool (diffTF) to estimate differential TF activity and classify TFs into activators or repressors. It requires active chromatin data (accessibility/ChIP-seq) and integrates with RNA-seq for classification. The authors apply it to two case studies (CLL and hematopoietic differentiation) and validate their predictions experimentally.

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Quantification of Differential Transcription Factor Activity and Multiomics-Based Classification into Activators and Repressors: diffTF

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