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Ontology application and use at the ENCODE DCC.

Authors :
Malladi VS
Erickson DT
Podduturi NR
Rowe LD
Chan ET
Davidson JM
Hitz BC
Ho M
Lee BT
Miyasato S
Roe GR
Simison M
Sloan CA
Strattan JS
Tanaka F
Kent WJ
Cherry JM
Hong EL
Source :
Database : the journal of biological databases and curation [Database (Oxford)] 2015 Mar 16; Vol. 2015. Date of Electronic Publication: 2015 Mar 16 (Print Publication: 2015).
Publication Year :
2015

Abstract

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.<br /> (© The Author(s) 2015. Published by Oxford University Press.)

Details

Language :
English
ISSN :
1758-0463
Volume :
2015
Database :
MEDLINE
Journal :
Database : the journal of biological databases and curation
Publication Type :
Academic Journal
Accession number :
25776021
Full Text :
https://doi.org/10.1093/database/bav010