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» Methods for Predicting Target Sites of Transcription Factors
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BIOINFORMATICS
2006
129views more  BIOINFORMATICS 2006»
13 years 7 months ago
Predicting methylation status of CpG islands in the human brain
Motivation: Over 50% of human genes contain CpG islands in their 5'-regions. Methylation patterns of CpG islands are involved in tissue-specific gene expression and regulatio...
Fang Fang, Shicai Fan, Xuegong Zhang, Michael Q. Z...
NAR
2007
132views more  NAR 2007»
13 years 7 months ago
TRED: a transcriptional regulatory element database, new entries and other development
Transcriptional factors (TFs) and many of their target genes are involved in gene regulation at the level of transcription. To decipher gene regulatory networks (GRNs) we require ...
C. Jiang, Zhenyu Xuan, Fang Zhao, Michael Q. Zhang
BIOINFORMATICS
2006
118views more  BIOINFORMATICS 2006»
13 years 7 months ago
A probabilistic dynamical model for quantitative inference of the regulatory mechanism of transcription
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Magnus Rattray, Neil D. Lawrenc...
RECOMB
2006
Springer
14 years 7 months ago
Genome-Wide Discovery of Modulators of Transcriptional Interactions in Human B Lymphocytes
Abstract. Transcriptional interactions in a cell are modulated by a variety of mechanisms that prevent their representation as pure pairwise interactions between a transcription fa...
Kai Wang, Ilya Nemenman, Nilanjana Banerjee, Adam ...
PSB
2004
13 years 8 months ago
Phylogenetic Motif Detection by Expectation-Maximization on Evolutionary Mixtures
ct The preferential conservation of transcription factor binding sites implies that non-coding sequence data from related species will prove a powerful asset to motif discovery. We...
Alan M. Moses, Derek Y. Chiang, Michael B. Eisen