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Ontology application and use at the ENCODE DCC.
Malladi, Venkat S; Erickson, Drew T; Podduturi, Nikhil R; Rowe, Laurence D; Chan, Esther T; Davidson, Jean M; Hitz, Benjamin C; Ho, Marcus; Lee, Brian T; Miyasato, Stuart; Roe, Gregory R; Simison, Matt; Sloan, Cricket A; Strattan, J Seth; Tanaka, Forrest; Kent, W James; Cherry, J Michael; Hong, Eurie L.
Afiliación
  • Malladi VS; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Erickson DT; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Podduturi NR; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Rowe LD; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Chan ET; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Davidson JM; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Hitz BC; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Ho M; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Lee BT; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Miyasato S; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Roe GR; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Simison M; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Sloan CA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Strattan JS; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Tanaka F; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Kent WJ; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Cherry JM; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
  • Hong EL; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA and Center for Biomolecular Science and Engineering, School of Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA euriehong@stanford.edu.
Database (Oxford) ; 20152015.
Article en En | MEDLINE | ID: mdl-25776021
The Encyclopedia of DNA elements (ENCODE) project is an ongoing collaborative effort to create a catalog of genomic annotations. To date, the project has generated over 4000 experiments across more than 350 cell lines and tissues using a wide array of experimental techniques to study the chromatin structure, regulatory network and transcriptional landscape of the Homo sapiens and Mus musculus genomes. All ENCODE experimental data, metadata and associated computational analyses are submitted to the ENCODE Data Coordination Center (DCC) for validation, tracking, storage and distribution to community resources and the scientific community. As the volume of data increases, the organization of experimental details becomes increasingly complicated and demands careful curation to identify related experiments. Here, we describe the ENCODE DCC's use of ontologies to standardize experimental metadata. We discuss how ontologies, when used to annotate metadata, provide improved searching capabilities and facilitate the ability to find connections within a set of experiments. Additionally, we provide examples of how ontologies are used to annotate ENCODE metadata and how the annotations can be identified via ontology-driven searches at the ENCODE portal. As genomic datasets grow larger and more interconnected, standardization of metadata becomes increasingly vital to allow for exploration and comparison of data between different scientific projects.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transcripción Genética / Bases de Datos Genéticas / Redes Reguladoras de Genes / Anotación de Secuencia Molecular / Ontología de Genes / Curaduría de Datos Límite: Animals / Humans Idioma: En Revista: Database (Oxford) Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transcripción Genética / Bases de Datos Genéticas / Redes Reguladoras de Genes / Anotación de Secuencia Molecular / Ontología de Genes / Curaduría de Datos Límite: Animals / Humans Idioma: En Revista: Database (Oxford) Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido