Tripal and Galaxy: supporting reproducible scientific workflows for community biological databases. (4th July 2020)
- Record Type:
- Journal Article
- Title:
- Tripal and Galaxy: supporting reproducible scientific workflows for community biological databases. (4th July 2020)
- Main Title:
- Tripal and Galaxy: supporting reproducible scientific workflows for community biological databases
- Authors:
- Spoor, Shawna
Wytko, Connor
Soto, Brian
Chen, Ming
Almsaeed, Abdullah
Condon, Bradford
Herndon, Nic
Hough, Heidi
Jung, Sook
Staton, Meg
Wegrzyn, Jill
Main, Dorrie
Feltus, F Alex
Ficklin, Stephen P - Abstract:
- Abstract: Online biological databases housing genomics, genetic and breeding data can be constructed using the Tripal toolkit. Tripal is an open-source, internationally developed framework that implements FAIR data principles and is meant to ease the burden of constructing such websites for research communities. Use of a common, open framework improves the sustainability and manageability of such as site. Site developers can create extensions for their site and in turn share those extensions with others. One challenge that community databases often face is the need to provide tools for their users that analyze increasingly larger datasets using multiple software tools strung together in a scientific workflow on complicated computational resources. The Tripal Galaxy module, a 'plug-in' for Tripal, meets this need through integration of Tripal with the Galaxy Project workflow management system. Site developers can create workflows appropriate to the needs of their community using Galaxy and then share those for execution on their Tripal sites via automatically constructed, but configurable, web forms or using an application programming interface to power web-based analytical applications. The Tripal Galaxy module helps reduce duplication of effort by allowing site developers to spend time constructing workflows and building their applications rather than rebuilding infrastructure for job management of multi-step applications.
- Is Part Of:
- Database. Volume 2020(2020)
- Journal:
- Database
- Issue:
- Volume 2020(2020)
- Issue Display:
- Volume 2020, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 2020
- Issue:
- 2020
- Issue Sort Value:
- 2020-2020-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-07-04
- Subjects:
- Biology -- Databases -- Periodicals
Bioinformatics -- Periodicals
570.285 - Journal URLs:
- http://database.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/database/baaa032 ↗
- Languages:
- English
- ISSNs:
- 1758-0463
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26038.xml