microGalaxy: A gateway to tools, workflows, and training for reproducible and FAIR analysis of microbial data

Engy Nasr, Pierre Amato, microGalaxy Community, Anshu Bhardwaj, Daniel Blankenberg, Daniela Brites, Fabio Cumbo, Katherine Do, Emanuele Ferrari, Timothy J Griffin, Björn Grüning, Saskia Hiltemann, Pratik Jagtap, Subina Mehta, Kimberly Métris, Saim Momin, Asime Oba, Christina Pavloudi, Nikos Pechlivanis, Raphaëlle PéguilhanFotis Psomopoulos, Nedeljka Rosic, Michael C Schatz, Valerie Claudia Schiml, Cléa Siguret, Nicola Soranzo, Andrew Stubbs, Peter van Heusden, Mustafa Vohra, Paul Zierep, Bérénice Batut*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademic

19 Downloads (Pure)

Abstract

Microbial research generates vast and complex data from diverse omics technologies, necessitating innovative analytical solutions. microGalaxy (Galaxy for Microbiology) addresses these needs with a user-friendly platform that integrates >220 tool suites and >65 curated workflows for microbial analyses, including taxonomic profiling, assembly, annotation, and functional analysis. Hosted on the main EU Galaxy server (microgalaxy.usegalaxy.eu), it supports workflow creation & customization, sharing, and updates across public and private Galaxy servers, ensuring flexibility and reproducibility. The platform also offers 45+ tutorials, 15+ instructional videos, and structured learning pathways, empowering researchers to conduct advanced analyses. Backed by a community-driven approach, microGalaxy prioritizes tool testing, semi-automatic updates, and multi-omics integration to meet global research demands. With its focus on rapid workflow prototyping and high-throughput processing, microGalaxy provides scalable resources for researchers at all expertise levels, enabling them to tackle challenges in microbial data analysis with confidence and efficiency.

Original languageEnglish
JournalbioRxiv : the preprint server for biology
DOIs
Publication statusPublished - 27 Dec 2024

Fingerprint

Dive into the research topics of 'microGalaxy: A gateway to tools, workflows, and training for reproducible and FAIR analysis of microbial data'. Together they form a unique fingerprint.

Cite this