For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
130
views
17
references
 Top references
cited by
249
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      12
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      GENECODIS: a web-based tool for finding significant concurrent annotations in gene lists

      product-review

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          GENECODIS, a web-based tool for finding annotations that frequently co-occur in a set of genes and ranking them by their statistical significance, is presented.

          Abstract

          We present GENECODIS, a web-based tool that integrates different sources of information to search for annotations that frequently co-occur in a set of genes and rank them by statistical significance. The analysis of concurrent annotations provides significant information for the biologic interpretation of high-throughput experiments and may outperform the results of standard methods for the functional analysis of gene lists. GENECODIS is publicly available at http://genecodis.dacya.ucm.es/.

          Related collections

          Most cited references17

          • Record: found
          • Abstract: not found
          • Article: not found

          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

          Yoav Benjamini, Yosef Hochberg (1995)
          Article 0 comments Cited 23680 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Gene Ontology: tool for the unification of biology

            Michael Ashburner, Catherine A. Ball, Judith Blake … (2002)
            Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
            Article 0 comments Cited 15231 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Entrez Gene: gene-centered information at NCBI

              Donna R. Maglott, Jim Ostell, Kim D. Pruitt … (2004)
              Entrez Gene (www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=gene) is NCBI's database for gene-specific information. It does not include all known or predicted genes; instead Entrez Gene focuses on the genomes that have been completely sequenced, that have an active research community to contribute gene-specific information, or that are scheduled for intense sequence analysis. The content of Entrez Gene represents the result of curation and automated integration of data from NCBI's Reference Sequence project (RefSeq), from collaborating model organism databases, and from many other databases available from NCBI. Records are assigned unique, stable and tracked integers as identifiers. The content (nomenclature, map location, gene products and their attributes, markers, phenotypes, and links to citations, sequences, variation details, maps, expression, homologs, protein domains and external databases) is updated as new information becomes available. Entrez Gene is a step forward from NCBI's LocusLink, with both a major increase in taxonomic scope and improved access through the many tools associated with NCBI Entrez.
              Article 0 comments Cited 340 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Genome Biol
                Title: Genome Biology
                Publisher: BioMed Central (London )
                ISSN (Print): 1465-6906
                ISSN (Electronic): 1465-6914
                Publication date (Print): 2007
                Publication date (Electronic): 4 January 2007
                Volume: 8
                Issue: 1
                Page: R3
                Affiliations
                [1 ]BioComputing Unit, National Center of Biotechnology (CNB-CSIC), C/Darwin 3, Campus Universidad Autónoma de Madrid, 28049 Madrid, Spain
                [2 ]Computer Architecture Department, Facultad de Ciencias Físicas, Universidad Complutense de Madrid, C/Avenida Complutense S/N, 28040 Madrid, Spain
                Article
                Publisher ID: gb-2007-8-1-r3
                DOI: 10.1186/gb-2007-8-1-r3
                PMC ID: 1839127
                PubMed ID: 17204154
                SO-VID: a4c267f8-b830-49e4-a00b-d582bfc1f9ca
                Copyright © Copyright © 2007 Carmona-Saez et al.; licensee BioMed Central Ltd.
                License:

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Date received : 3 July 2006
                Date revision received : 29 September 2006
                Date accepted : 4 January 2007
                Categories
                Subject: Software

                ScienceOpen disciplines: Genetics
                Data availability:
                ScienceOpen disciplines: Genetics

                Comments

                Comment on this article

                scite_

                Similar content12

                See all similar

                Cited by240

                See all cited by

                Most referenced authors1,328

                See all reference authors