BABELOMICS: a suite of web tools for functional annotation and analysis of groups of genes in high-throughput experiments.
We present Babelomics, a complete suite of web tools for the functional analysis of groups of genes in high-throughput experiments, which includes the use of information on Gene Ontology terms, interpro motifs, KEGG pathways, Swiss-Prot keywords, analysis of predicted transcription factor binding sites, chromosomal positions and presence in tissues with determined histological characteristics, through five integrated modules: FatiGO (fast assignment and transference of information), FatiWise, transcription factor association test, GenomeGO and tissues mining tool, respectively. Additionally, another module, FatiScan, provides a new procedure that integrates biological information in combination with experimental results in order to find groups of genes with modest but coordinate significant differential behaviour. FatiScan is highly sensitive and is capable of finding significant asymmetries in the distribution of genes of common function across a list of ordered genes even if these asymmetries were not extreme. The strong multiple-testing nature of the contrasts made by the tools is taken into account. All the tools are integrated in the gene expression analysis package GEPAS. Babelomics is the natural evolution of our tool FatiGO (which analysed almost 22,000 experiments during the last year) to include more sources on information and new modes of using it. Babelomics can be found at http://www.babelomics.org.
Al-Shahrour
Fátima
F
Bioinformatics Unit, Centro Nacional de Investigaciones Oncológicas (CNIO) Melchor Fernández Almagro 3, 28029, Madrid, Spain.
Minguez
Pablo
P
Vaquerizas
Juan M
JM
Conde
Lucía
L
Dopazo
Joaquín
J
D001665:Binding Sites; D002874:Chromosome Mapping; D020869:Gene Expression Profiling; D005796:Genes; D023281:Genomics / Q000379:methods*; D020407:Internet; D020411:Oligonucleotide Array Sequence Analysis; D012984:Software; D018511:Systems Integration; D014157:Transcription Factors / Q000378:metabolism
D014157:Transcription Factors