Genome Biology

official impact factor 6.89

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Identifying combinatorial regulation of transcription factors and binding motifs

Mamoru Kato, Naoya Hata, Nilanjana Banerjee, Bruce Futcher and Michael Q Zhang*

Genome Biology 2004, 5:R56 doi:10.1186/gb-2004-5-8-r56

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BioMed Central: 25 citations

Proceedings   Open Access

GPMiner: an integrated system for mining combinatorial cis-regulatory elements in mammalian gene group

Tzong-Yi Lee, Wen-Chi Chang, Justin Hsu, Tzu-Hao Chang, Dray-Ming Shien BMC Genomics 2012, 13(Suppl 1):S3 (17 January 2012)

Method   Open Access Highly Accessed

Genome-wide analysis of chromatin features identifies histone modification sensitive and insensitive yeast transcription factors

Chao Cheng, Chong Shou, Kevin Y Yip, Mark B Gerstein Genome Biology 2011, 12:R111 (7 November 2011)

A method that uses both chromatin features and motif identification to predict transcription factor binding sites

Methodology article   Open Access

A novel method to identify cooperative functional modules: study of module coordination in the Saccharomyces cerevisiae cell cycle

Jeh-Ting Hsu, Chien-Hua Peng, Wen-Ping Hsieh, Chung-Yu Lan, Chuan Tang BMC Bioinformatics 2011, 12:281 (12 July 2011)

Research   Open Access

Reconstruct gene regulatory network using slice pattern model

Yadong Wang, Guohua Wang, Bo Yang, Haijun Tao, Jack Y Yang, Youping Deng, Yunlong Liu BMC Genomics 2009, 10(Suppl 1):S2 (7 July 2009)

Proceedings   Open Access

Identification of temporal association rules from time-series microarray data sets

Hojung Nam, KiYoung Lee, Doheon Lee BMC Bioinformatics 2009, 10(Suppl 3):S6 (19 March 2009)

Research article   Open Access

Combinatorial control of gene expression by the three yeast repressors Mig1, Mig2 and Mig3

Jakub Westholm, Niklas Nordberg, Eva Murén, Adam Ameur, Jan Komorowski, Hans Ronne BMC Genomics 2008, 9:601 (16 December 2008)

Methodology article   Open Access

Compo: composite motif discovery using discrete models

Geir Sandve, Osman Abul, Finn Drabløs BMC Bioinformatics 2008, 9:527 (8 December 2008)

Methodology article   Open Access

Systematic identification of yeast cell cycle transcription factors using multiple data sources

Wei-Sheng Wu, Wen-Hsiung Li BMC Bioinformatics 2008, 9:522 (5 December 2008)

Database   Open Access Highly Accessed

PlantPAN: Plant promoter analysis navigator, for identifying combinatorial cis-regulatory elements with distance constraint in plant gene groups

Wen-Chi Chang, Tzong-Yi Lee, Hsien-Da Huang, His-Yuan Huang, Rong-Long Pan BMC Genomics 2008, 9:561 (26 November 2008)

Research article   Open Access Highly Accessed

Genome-scale study of the importance of binding site context for transcription factor binding and gene regulation

Jakub Westholm, Feifei Xu, Hans Ronne, Jan Komorowski BMC Bioinformatics 2008, 9:484 (17 November 2008)

Research article   Open Access Highly Accessed

Identifying gene regulatory modules of heat shock response in yeast

Wei-Sheng Wu, Wen-Hsiung Li BMC Genomics 2008, 9:439 (23 September 2008)

Method   Open Access Highly Accessed

Prediction of synergistic transcription factors by function conservation

Zihua Hu, Boyu Hu, James F Collins Genome Biology 2007, 8:R257 (5 December 2007)

A new strategy is proposed for identifying synergistic transcription factors by function conservation, leading to the identification of 51 homotypic transcription-factor combinations.

Research article   Open Access

Revealing cell cycle control by combining model-based detection of periodic expression with novel cis-regulatory descriptors

Claes R Andersson, Torgeir R Hvidsten, Anders Isaksson, Mats G Gustafsson, Jan Komorowski BMC Systems Biology 2007, 1:45 (16 October 2007)

Research   Open Access Highly Accessed

Exact p-value calculation for heterotypic clusters of regulatory motifs and its application in computational annotation of cis-regulatory modules

Valentina Boeva, Julien Clément, Mireille Régnier, Mikhail A Roytberg, Vsevolod J Makeev Algorithms for Molecular Biology 2007, 2:13 (10 October 2007)

Research   Open Access Highly Accessed

Dynamic cumulative activity of transcription factors as a mechanism of quantitative gene regulation

Feng He, Jan Buer, An-Ping Zeng, Rudi Balling Genome Biology 2007, 8:R181 (4 September 2007)

By combining information on the yeast transcription network and high-resolution time-series data with a series of factors, support is provided for the concept that dynamic cumulative regulation is a major principle of quantitative transcriptional control.

Research article   Open Access

Identifying regulatory targets of cell cycle transcription factors using gene expression and ChIP-chip data

Wei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen BMC Bioinformatics 2007, 8:188 (8 June 2007)

Software   Open Access Highly Accessed

MotifCombinator: a web-based tool to search for combinations of cis-regulatory motifs

Mamoru Kato, Tatsuhiko Tsunoda BMC Bioinformatics 2007, 8:100 (22 March 2007)

Methodology article   Open Access

Bioinformatics analysis of the early inflammatory response in a rat thermal injury model

Eric Yang, Timothy Maguire, Martin L Yarmush, Francois Berthiaume, Ioannis P Androulakis BMC Bioinformatics 2007, 8:10 (10 January 2007)

Software   Open Access Highly Accessed

Unraveling transcriptional control and cis-regulatory codes using the software suite GeneACT

Tom Cheung, Yin Kwan, Micah Hamady, Xuedong Liu Genome Biology 2006, 7:R97 (25 October 2006)

GENEACT, a new software suite for the detection of evolutionarily conserved transcription factor binding sites or microRNAs from differentially expressed genes from DNA microarray data, is described.

Research article   Open Access

Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle

Wei-Sheng Wu, Wen-Hsiung Li, Bor-Sen Chen BMC Bioinformatics 2006, 7:421 (29 September 2006)

Method   Open Access Highly Accessed

A steganalysis-based approach to comprehensive identification and characterization of functional regulatory elements

Guandong Wang, Weixiong Zhang Genome Biology 2006, 7:R49 (20 June 2006)

WordSpy, a novel, steganalysis-based approach for genome-wide motif-finding is described and applied to yeast and Arabidopsis promoters, identifying cell-cycle motifs.

Method   Open Access Highly Accessed

Inferring transcriptional modules from ChIP-chip, motif and microarray data

Karen Lemmens, Thomas Dhollander, Tijl De Bie, Pieter Monsieurs, Kristof Engelen, Bart Smets, Joris Winderickx, Bart De Moor, Kathleen Marchal Genome Biology 2006, 7:R37 (5 May 2006)

ReMoDiscovery, a module discovery algorithm and software that uses ChIP-chip data, motif information and gene-expression profiles, is presented.

Review   Open Access Highly Accessed

A survey of motif discovery methods in an integrated framework

Geir Sandve, Finn Drabløs Biology Direct 2006, 1:11 (6 April 2006)

Methodology article   Open Access Highly Accessed

Dynamic modeling of cis-regulatory circuits and gene expression prediction via cross-gene identification

Li-Hsieh Lin, Hsiao-Ching Lee, Wen-Hsiung Li, Bor-Sen Chen BMC Bioinformatics 2005, 6:258 (18 October 2005)

Research   Open Access

Predicting transcription factor activities from combined analysis of microarray and ChIP data: a partial least squares approach

Anne-Laure Boulesteix, Korbinian Strimmer Theoretical Biology and Medical Modelling 2005, 2:23 (24 June 2005)