z-logo
open-access-imgOpen Access
Tripal and Galaxy: supporting reproducible scientific workflows for community biological databases
Author(s) -
Shawna Spoor,
Connor Wytko,
Brian Pando,
Ming Chen,
Abdullah Almsaeed,
Bradford Condon,
Nic Herndon,
Heidi Hough,
Sook Jung,
Meg Staton,
Jill L. Wegrzyn,
Dorrie Main,
F. Alex Feltus,
Stephen Ficklin
Publication year - 2020
Publication title -
database
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.406
H-Index - 62
ISSN - 1758-0463
DOI - 10.1093/database/baaa032
Subject(s) - workflow , computer science , interface (matter) , world wide web , database , software , plug in , web application , data science , software engineering , bubble , maximum bubble pressure method , parallel computing , programming language
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom