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
[21]   Integrating regulatory motif discovery and genome-wide expression analysis [J].
Conlon, EM ;
Liu, XS ;
Lieb, JD ;
Liu, JS .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (06) :3339-3344
[22]   Annotating regulatory DNA based on man-mouse genomic comparison [J].
Dieterich, C ;
Cusack, B ;
Wang, HY ;
Rateitschak, K ;
Krause, A ;
Vingron, M .
BIOINFORMATICS, 2002, 18 :S84-S90
[23]   Identifying transcription factor binding sites through Markov chain optimization [J].
Ellrott, K ;
Yang, CH ;
Sladek, FM ;
Jiang, T .
BIOINFORMATICS, 2002, 18 :S100-S109
[24]  
Eskin Eleazar, 2002, Bioinformatics, V18 Suppl 1, pS354
[25]  
Frech K, 1997, TRENDS BIOCHEM SCI, V22, P103
[26]  
Frech K, 1997, COMPUT APPL BIOSCI, V13, P89
[27]   Finding functional sequence elements by multiple local alignment [J].
Frith, MC ;
Hansen, U ;
Spouge, JL ;
Weng, ZP .
NUCLEIC ACIDS RESEARCH, 2004, 32 (01) :189-200
[28]   RIGOROUS PATTERN-RECOGNITION METHODS FOR DNA-SEQUENCES - ANALYSIS OF PROMOTER SEQUENCES FROM ESCHERICHIA-COLI [J].
GALAS, DJ ;
EGGERT, M ;
WATERMAN, MS .
JOURNAL OF MOLECULAR BIOLOGY, 1985, 186 (01) :117-128
[29]   Identifying target sites for cooperatively binding factors [J].
GuhaThakurta, D ;
Stormo, GD .
BIOINFORMATICS, 2001, 17 (07) :608-621
[30]   Distribution patterns of over-represented κ-mers in non-coding yeast DNA [J].
Hampson, S ;
Kibler, D ;
Baldi, P .
BIOINFORMATICS, 2002, 18 (04) :513-528