FatiGO+:: a functional profiling tool for genomic data.: Integration of functional annotation, regulatory motifs and interaction data with microarray experiments

被引:200
作者
Al-Shahrour, Fatima [1 ]
Minguez, Pablo [1 ]
Tarraga, Joaquin [1 ,2 ]
Medina, Ignacio [1 ]
Alloza, Eva [1 ]
Montaner, David [1 ,2 ]
Dopazo, Joaquin [1 ,2 ]
机构
[1] CIPF, Bioinformat Dept, Valencia 46013, Spain
[2] CIPF, INB, Valencia 46013, Spain
关键词
D O I
10.1093/nar/gkm260
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The ultimate goal of any genome-scale experiment is to provide a functional interpretation of the data, relating the available information with the hypotheses that originated the experiment. Thus, functional profiling methods have become essential in diverse scenarios such as microarray experiments, proteomics, etc. We present the FatiGO+, a web-based tool for the functional profiling of genome-scale experiments, specially oriented to the interpretation of microarray experiments. In addition to different functional annotations (gene ontology, KEGG pathways, Interpro motifs, Swissprot keywords and text-mining based bioentities related to diseases and chemical compounds) FatiGO+ includes, as a novelty, regulatory and structural information. The regulatory information used includes predictions of targets for distinct regulatory elements (obtained from the Transfac and CisRed databases). Additionally FatiGO+ uses predictions of target motifs of miRNA to infer which of these can be activated or deactivated in the sample of genes studied. Finally, properties of gene products related to their relative location and connections in the interactome have also been used. Also, enrichment of any of these functional terms can be directly analysed on chromosomal coordinates. FatiGO+ can be found at: http://www.fatigoplus.org and within the Babelomics environment http://www.babelomics.org.
引用
收藏
页码:W91 / W96
页数:6
相关论文
共 42 条
[1]   Discovering molecular functions significantly related to phenotypes by combining gene expression data and biological information [J].
Al-Shahrour, F ;
Díaz-Uriarte, R ;
Dopazo, J .
BIOINFORMATICS, 2005, 21 (13) :2988-2993
[2]   FatiGO:: a web tool for finding significant associations of Gene Ontology terms with groups of genes [J].
Al-Shahrour, F ;
Díaz-Uriarte, R ;
Dopazo, J .
BIOINFORMATICS, 2004, 20 (04) :578-580
[3]  
Al-Shahrour F, 2005, DATA ANALYSIS AND VISUALIZATION IN GENOMICS AND PROTEOMICS, P99, DOI 10.1002/0470094419.ch7
[4]   BABELOMICS:: a systems biology perspective in the functional annotation of genome-scale experiments [J].
Al-Shahrour, Fatima ;
Minguez, Pablo ;
Tarraga, Joaquin ;
Montaner, David ;
Alloza, Eva ;
Vaquerizas, Juan M. ;
Conde, Lucia ;
Blaschke, Christian ;
Vera, Javier ;
Dopazo, Joaquin .
NUCLEIC ACIDS RESEARCH, 2006, 34 :W472-W476
[5]   Automatic extraction of keywords from scientific text: application to the knowledge domain of protein families [J].
Andrade, MA ;
Valencia, A .
BIOINFORMATICS, 1998, 14 (07) :600-607
[6]   PIANA: protein interactions and network analysis [J].
Aragues, R ;
Jaeggi, D ;
Oliva, B .
BIOINFORMATICS, 2006, 22 (08) :1015-1017
[7]   Gene Ontology: tool for the unification of biology [J].
Ashburner, M ;
Ball, CA ;
Blake, JA ;
Botstein, D ;
Butler, H ;
Cherry, JM ;
Davis, AP ;
Dolinski, K ;
Dwight, SS ;
Eppig, JT ;
Harris, MA ;
Hill, DP ;
Issel-Tarver, L ;
Kasarskis, A ;
Lewis, S ;
Matese, JC ;
Richardson, JE ;
Ringwald, M ;
Rubin, GM ;
Sherlock, G .
NATURE GENETICS, 2000, 25 (01) :25-29
[8]  
Bader GD, 2003, NUCLEIC ACIDS RES, V31, P248, DOI 10.1093/nar/gkg056
[9]   MicroRNAs: Genomics, biogenesis, mechanism, and function (Reprinted from Cell, vol 116, pg 281-297, 2004) [J].
Bartel, David P. .
CELL, 2007, 131 (04) :11-29
[10]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300