In silico representation and discovery of transcription factor binding sites

被引:54
作者
Pavesi, G
Mauri, G
Pesole, G
机构
[1] Univ Milan, Dept Biomol Sci & Biotechnol, Lab Bioinformat & Comparat Genom, I-20133 Milan, Italy
[2] Univ Milano Bicocca, Milan, Italy
关键词
motif discovery; promoter; position-specific weight matrix; genome annotation; software tools; transcription factor binding site; transcription regulation;
D O I
10.1093/bib/5.3.217
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Understanding the complex mechanisms governing basic biological processes requires the characterisation of regulatory motifs modulating gene expression at transcriptional and post-transcriptional level. In particular, extent, chronology and cell-specificity of transcription are modulated by the interaction of transcription factors with their corresponding binding sites, mostly located near (or sometimes quite far away from) the transcription start site of the gene. The constantly growing amount of genomic data, complemented by other sources of information such as expression data derived from microarray experiments, has opened new opportunities to researchers in this field. Many different methods have been proposed for the identification of transcription factor binding sites in the regulatory regions of co-expressed genes: unfortunately this is a very challenging problem both from the computational and the biological viewpoint. This paper provides a survey of existing methods proposed for the problem, focusing both on the ideas underlying them and their availability to the scientific community.
引用
收藏
页码:217 / 236
页数:20
相关论文
共 81 条
[1]   Toucan:: deciphering the cis-regulatory logic of coregulated genes [J].
Aerts, S ;
Thijs, G ;
Coessens, B ;
Staes, M ;
Moreau, Y ;
Moor, BD .
NUCLEIC ACIDS RESEARCH, 2003, 31 (06) :1753-1764
[2]  
Akutsu T., 2000, RECOMB 2000. Proceedings of the Fourth Annual International Conference on Computational Molecular Biology, P1, DOI 10.1145/332306.332311
[3]  
[Anonymous], 1997, ALGORITHMS STRINGS T, DOI DOI 10.1017/CBO9780511574931
[4]   Monotony of surprise and large-scale quest for unusual words [J].
Apostolico, A ;
Bock, ME ;
Lonardi, S .
JOURNAL OF COMPUTATIONAL BIOLOGY, 2003, 10 (3-4) :283-311
[5]   Efficient detection of unusual words [J].
Apostolico, A ;
Bock, ME ;
Lonardi, S ;
Xu, XY .
JOURNAL OF COMPUTATIONAL BIOLOGY, 2000, 7 (1-2) :71-94
[6]   DNA sequence evolution with neighbor-dependent mutation [J].
Arndt, PF ;
Burge, CB ;
Hwa, T .
JOURNAL OF COMPUTATIONAL BIOLOGY, 2003, 10 (3-4) :313-322
[7]  
Bailey T L, 1994, Proc Int Conf Intell Syst Mol Biol, V2, P28
[8]  
Baldi P., 2002, DNA MICROARRAYS GENE
[9]  
Barash Y., 2003, P 7 ANN INT C COMP M, P28
[10]   Predicting gene expression from sequence [J].
Beer, MA ;
Tavazoie, S .
CELL, 2004, 117 (02) :185-198