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

References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
Sorted by year (citations)

  1. Ahn, Jaegyoon; Yoon, Youngmi; Park, Sanghyun: Noise-robust algorithm for identifying functionally associated biclusters from gene expression data (2011) ioport
  2. Sikora, Marek; Gruca, Aleksandra: Quality improvement of rule-based gene group descriptions using information about GO terms importance occurring in premises of determined rules (2010)
  3. Yi, Ming; Mudunuri, Uma; Che, Anney; Stephens, Robert M.: Seeking unique and common biological themes in multiple gene lists or datasets: pathway pattern extraction pipeline for pathway-level comparative analysis (2009) ioport
  4. Dudoit, Sandine; van der Laan, Mark J.: Multiple testing procedures with applications to genomics. (2008)
  5. Dudoit, Sandrine; Keleş, Sündüz; van der Laan, Mark J.: Multiple tests of association with biological annotation metadata (2008)
  6. Al-Shahrour, Fátima; Minguez, Pablo; Vaquerizas, Juan M.; Conde, Lucía; Dopazo, Joaquín: BABELOMICS: a suite of web tools for functional annotation and analysis of groups of genes in high-throughput experiments. (2005) ioport