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

被引:0
|
作者
Karen Lemmens
Thomas Dhollander
Tijl De Bie
Pieter Monsieurs
Kristof Engelen
Bart Smets
Joris Winderickx
Bart De Moor
Kathleen Marchal
机构
[1] KU Leuven,BIOI@SCD, Department of Electrical Engineering
[2] KU Leuven,Research Group on Quantitative Psychology, Department of Psychology
[3] KU Leuven,Molecular Physiology of Plants and Micro
[4] KU Leuven,organisms Section, Biology Department
来源
关键词
Additional Data File; Regulatory Program; Ribosome Biogenesis; Regulator Content; Filamentous Growth;
D O I
暂无
中图分类号
学科分类号
摘要
'ReMoDiscovery' is an intuitive algorithm to correlate regulatory programs with regulators and corresponding motifs to a set of co-expressed genes. It exploits in a concurrent way three independent data sources: ChIP-chip data, motif information and gene expression profiles. When compared to published module discovery algorithms, ReMoDiscovery is fast and easily tunable. We evaluated our method on yeast data, where it was shown to generate biologically meaningful findings and allowed the prediction of potential novel roles of transcriptional regulators.
引用
收藏
相关论文
共 50 条
  • [31] ChIPpeakAnno: a Bioconductor package to annotate ChIP-seq and ChIP-chip data
    Zhu, Lihua J.
    Gazin, Claude
    Lawson, Nathan D.
    Pages, Herve
    Lin, Simon M.
    Lapointe, David S.
    Green, Michael R.
    [J]. BMC BIOINFORMATICS, 2010, 11
  • [32] Bayesian modeling of ChIP-chip data using latent variables
    Wu, Mingqi
    Liang, Faming
    Tian, Yanan
    [J]. BMC BIOINFORMATICS, 2009, 10
  • [33] Bayesian modeling of ChIP-chip data using latent variables
    Mingqi Wu
    Faming Liang
    Yanan Tian
    [J]. BMC Bioinformatics, 10
  • [34] Quantitative Visualization of ChIP-chip Data by Using Linked Views
    Huang, Min-Yu
    Weber, Gunther H.
    Li, Xiao-Yong
    Biggin, Mark D.
    Hamann, Bernd
    [J]. 2010 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS (BIBMW), 2010, : 195 - 200
  • [35] Quantized correlation coefficient for measuring reproducibility of ChIP-chip data
    Shouyong Peng
    Mitzi I Kuroda
    Peter J Park
    [J]. BMC Bioinformatics, 11
  • [36] Parameter estimation for robust HMM analysis of ChIP-chip data
    Peter Humburg
    David Bulger
    Glenn Stone
    [J]. BMC Bioinformatics, 9
  • [37] Global and Threshold-Free Transcriptional Regulatory Networks Reconstruction Through Integrating ChIP-Chip and Expression Data
    Liu, Qi
    Yang, Yi
    Li, Yixue
    Zhang, Zili
    [J]. CURRENT PROTEIN & PEPTIDE SCIENCE, 2011, 12 (07) : 631 - 642
  • [38] ChIP-chip versus ChIP-seq: Lessons for experimental design and data analysis
    Joshua WK Ho
    Eric Bishop
    Peter V Karchenko
    Nicolas Nègre
    Kevin P White
    Peter J Park
    [J]. BMC Genomics, 12
  • [39] Features of HTLV-1 transcriptional and chromatin remodeling dynamics emerge from ChIP-chip analysis
    Mohammad Heydarian
    Dowser Alani
    Irene Guendel
    Rachel Van Duyne
    Tim McCaffrey
    Sidney W Fu
    Kylene Kehn-Hall
    Fatah Kashanchi
    [J]. Retrovirology, 8 (Suppl 1)
  • [40] Identifying cooperative transcription factors by combining ChIP-chip data and knockout data
    Yang, Yi
    Zhang, Zili
    Li, Yixue
    Zhu, Xin-Guang
    Liu, Qi
    [J]. CELL RESEARCH, 2010, 20 (11) : 1276 - 1278