Tribe: The collaborative platform for reproducible web-based analysis of gene sets

BioRxiv : the Preprint Server for Biology
Rene A ZelayaCasey S Greene

Abstract

Background: The adoption of new bioinformatics webservers provides biological researchers with new analytical opportunities but also raises workflow challenges. These challenges include sharing collections of genes with collaborators, translating gene identifiers to the most appropriate nomenclature for each server, tracking these collections across multiple analysis tools and webservers, and maintaining effective records of the genes used in each analysis. Description: In this paper, we present the Tribe webserver (available at https://tribe.greenelab.com), which addresses these challenges in order to make multi-server workflows seamless and reproducible. This allows users to create analysis pipelines that use their own sets of genes in combinations of specialized data mining webservers and tools while seamlessly maintaining gene set version control. Tribe's web interface facilitates collaborative editing: users can share with collaborators, who can then view, download, and edit these collections. Tribe's fully-featured API allows users to interact with Tribe programmatically if desired. Tribe implements the OAuth 2.0 standard as well as gene identifier mapping, which facilitates its integration into existing servers. Access t...Continue Reading

Related Concepts

Genes
Research Personnel
Tracking
Collaborative Study
Analysis
Bio-Informatics
Active ingredient
CDKN2AIP protein, human

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