GeneCodis3: a non-redundant and modular enrichment analysis tool for functional genomics

Since its first release in 2007, GeneCodis has become a valuable tool to functionally interpret results from experimental techniques in genomics. This web-based application integrates different sources of information to finding groups of genes with similar biological meaning. This process, known as enrichment analysis, is essential in the interpretation of high-throughput experiments. The frequent feedbacks and the natural evolution of genomics and bioinformatics have allowed the growth of the tool and the development of this third release. In this version, a special effort has been made to remove noisy and redundant output from the enrichment results with the inclusion of a recently reported algorithm that summarizes significantly enriched terms and generates functionally coherent modules of genes and terms. A new comparative analysis has been added to allow the differential analysis of gene sets. To expand the scope of the application, new sources of biological information have been included, such as genetic diseases, drugs–genes interactions and Pubmed information among others. Finally, the graphic section has been renewed with the inclusion of new interactive graphics and filtering options. The application is freely available at http://genecodis.cnb.csic.es.

[1]  Ana Kozomara,et al.  miRBase: integrating microRNA annotation and deep-sequencing data , 2010, Nucleic Acids Res..

[2]  Joaquín Dopazo,et al.  The role of the environment in Parkinson's disease. , 1996, Nucleic Acids Res..

[3]  Kahn Rhrissorrakrai,et al.  Benzo[a]pyrene diol epoxide stimulates an inflammatory response in normal human lung fibroblasts through a p53 and JNK mediated pathway. , 2010, Carcinogenesis.

[4]  Pablo Tamayo,et al.  Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[5]  P. Khatri,et al.  Profiling gene expression using onto-express. , 2002, Genomics.

[6]  Alexander E. Kel,et al.  TRANSFAC®: transcriptional regulation, from patterns to profiles , 2003, Nucleic Acids Res..

[7]  Brad T. Sherman,et al.  Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources , 2008, Nature Protocols.

[8]  M. Ashburner,et al.  Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.

[9]  Celia Fontanillo,et al.  Functional Analysis beyond Enrichment: Non-Redundant Reciprocal Linkage of Genes and Biological Terms , 2011, PloS one.

[10]  Alan F. Scott,et al.  Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders , 2004, Nucleic Acids Res..

[11]  Daniel Rios,et al.  Ensembl 2011 , 2010, Nucleic Acids Res..

[12]  J. Dopazo Functional interpretation of microarray experiments. , 2006, Omics : a journal of integrative biology.

[13]  Arek Kasprzyk,et al.  BioMart: driving a paradigm change in biological data management , 2011, Database J. Biol. Databases Curation.

[14]  Susumu Goto,et al.  KEGG for integration and interpretation of large-scale molecular data sets , 2011, Nucleic Acids Res..

[15]  J. Carazo,et al.  GENECODIS: a web-based tool for finding significant concurrent annotations in gene lists , 2007, Genome Biology.

[16]  Michelle Whirl-Carrillo,et al.  From pharmacogenomic knowledge acquisition to clinical applications: the PharmGKB as a clinical pharmacogenomic biomarker resource. , 2011, Biomarkers in medicine.

[17]  M. Kimmel,et al.  Conflict of interest statement. None declared. , 2010 .

[18]  Joaquín Dopazo,et al.  From genes to functional classes in the study of biological systems , 2007, BMC Bioinformatics.

[19]  Robert D. Finn,et al.  InterPro in 2011: new developments in the family and domain prediction database , 2011, Nucleic acids research.

[20]  Francisco Tirado,et al.  GeneCodis: interpreting gene lists through enrichment analysis and integration of diverse biological information , 2009, Nucleic Acids Res..

[21]  Alan F. Scott,et al.  Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders , 2002, Nucleic Acids Res..

[22]  Alexandre P. Francisco,et al.  YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in Saccharomyces cerevisiae through a web services interface , 2010, Nucleic Acids Res..

[23]  Lambert C. J. Dorssers,et al.  GO-Mapper: functional analysis of gene expression data using the expression level as a score to evaluate Gene Ontology terms , 2004, Bioinform..

[24]  Purvesh Khatri,et al.  Ontological analysis of gene expression data: current tools, limitations, and open problems , 2005, Bioinform..

[25]  Christian Borgelt,et al.  Finding closed frequent item sets by intersecting transactions , 2011, EDBT/ICDT '11.

[26]  Brad T. Sherman,et al.  Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists , 2008, Nucleic acids research.

[27]  Anushya Muruganujan,et al.  PANTHER version 7: improved phylogenetic trees, orthologs and collaboration with the Gene Ontology Consortium , 2009, Nucleic Acids Res..

[28]  Thorsten Schmidt,et al.  ProfCom: a web tool for profiling the complex functionality of gene groups identified from high-throughput data , 2008, Nucleic Acids Res..

[29]  Kevin P. Claffey,et al.  Differential protein expression profiles in estrogen receptor-positive and -negative breast cancer tissues using label-free quantitative proteomics. , 2010, Genes & cancer.