Predicting spatial and temporal gene expression using an integrative model of transcription factor occupancy and chromatin state

Precise patterns of spatial and temporal gene expression are central to metazoan complexity and act as a driving force for embryonic development. While there has been substantial progress in dissecting and predicting cis-regulatory activity, our understanding of how information from multiple enhance...

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Veröffentlicht in:	PLoS computational biology 2012-12, Vol.8 (12), p.e1002798-e1002798
Hauptverfasser:	Wilczynski, Bartek, Liu, Ya-Hsin, Yeo, Zhen Xuan, Furlong, Eileen E M
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Bayes Theorem Bayesian statistical decision theory Biology Chromatin Chromatin - metabolism Computational biology Drosophila - genetics Embryos Enhancer Elements, Genetic Experiments Gene Expression Genetic aspects Genetics Genomes Health aspects Insects Metazoa Microbial genetics Models, Theoretical Physiological aspects Regulation RNA polymerase Transcription factors Transcription Factors - metabolism
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