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Tripal v3: an ontology-based toolkit for construction of FAIR biological community databases.
Spoor, Shawna; Cheng, Chun-Huai; Sanderson, Lacey-Anne; Condon, Bradford; Almsaeed, Abdullah; Chen, Ming; Bretaudeau, Anthony; Rasche, Helena; Jung, Sook; Main, Dorrie; Bett, Kirstin; Staton, Margaret; Wegrzyn, Jill L; Feltus, F Alex; Ficklin, Stephen P.
Affiliation
  • Spoor S; Department of Horticulture, Washington State University, Pullman, WA, USA.
  • Cheng CH; Department of Horticulture, Washington State University, Pullman, WA, USA.
  • Sanderson LA; Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
  • Condon B; Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, USA.
  • Almsaeed A; Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, USA.
  • Chen M; Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, USA.
  • Bretaudeau A; INRA, UMR IGEPP, BIPAA/GenOuest, INRIA/Irisa - Campus de Beaulieu, Rennes Cedex, France.
  • Rasche H; Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg im Breisgau, Germany.
  • Jung S; Department of Horticulture, Washington State University, Pullman, WA, USA.
  • Main D; Department of Horticulture, Washington State University, Pullman, WA, USA.
  • Bett K; Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
  • Staton M; Department of Entomology and Plant Pathology, University of Tennessee, Knoxville, TN, USA.
  • Wegrzyn JL; Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA.
  • Feltus FA; Computational Biology Core, Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA.
  • Ficklin SP; Dept. of Genetics and Biochemistry, Clemson University, Clemson, USA.
Database (Oxford) ; 20192019 01 01.
Article in En | MEDLINE | ID: mdl-31328773
ABSTRACT
Community biological databases provide an important online resource for both public and private data, analysis tools and community engagement. These sites house genomic, transcriptomic, genetic, breeding and ancillary data for specific species, families or clades. Due to the complexity and increasing quantities of these data, construction of online resources is increasingly difficult especially with limited funding and access to technical expertise. Furthermore, online repositories are expected to promote FAIR data principles (findable, accessible, interoperable and reusable) that presents additional challenges. The open-source Tripal database toolkit seeks to mitigate these challenges by creating both the software and an interactive community of developers for construction of online community databases. Additionally, through coordinated, distributed co-development, Tripal sites encourage community-wide sustainability. Here, we report the release of Tripal version 3 that improves data accessibility and data sharing through systematic use of controlled vocabularies (CVs). Tripal uses the community-developed Chado database as a default data store, but now provides tools to support other data stores, while ensuring that CVs remain the central organizational structure for the data. A new site developer can use Tripal to develop a basic site with little to no programming, with the ability to integrate other data types using extension modules and the Tripal application programming interface. A thorough online User's Guide and Developer's Handbook are available at http//tripal.info, providing download, installation and step-by-step setup instructions.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Internet / Databases, Genetic / Information Dissemination / Biota / Transcriptome Language: En Journal: Database (Oxford) Year: 2019 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Internet / Databases, Genetic / Information Dissemination / Biota / Transcriptome Language: En Journal: Database (Oxford) Year: 2019 Document type: Article Affiliation country: