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BMJ Open|April 29, 2026
Molecular characterisation of progressive pulmonary sarcoidosis: protocol for a longitudinal multi-centre study to develop peripheral blood circulating biomarkers for predicting pulmonary sarcoidosis progressionManeesh Bhargava, Elliott D Crouser, Briana Q Barkes, et al.
Msystems|June 27, 2024
An integrated metaproteomics workflow for studying host-microbe dynamics in bronchoalveolar lavage samples applied to cystic fibrosis diseaseMonica E Kruk, Subina Mehta, Kevin Murray, et al.
F1000Research|September 7, 2021
ASaiM-MT: a validated and optimized ASaiM workflow for metatranscriptomics analysis within Galaxy frameworkSubina Mehta, Marie Crane, Emma Leith, et al.
Proteomes|July 12, 2020
Precursor Intensity-Based Label-Free Quantification Software Tools for Proteomic and Multi-Omic Analysis within the Galaxy PlatformSubina Mehta, Caleb W Easterly, Ray Sajulga, et al.
Plos One|November 10, 2020
Survey of metaproteomics software tools for functional microbiome analysisRay Sajulga, Caleb Easterly, Michael Riffle, et al.
BMJ Open|April 28, 2026
Comprehensive proteomic classifier for molecular characterisation of pulmonary sarcoidosis: protocol for a longitudinal multi-centre study to evaluate bronchoalveolar fluid and cell diagnostic and prognostic biomarkers of pulmonary sarcoidosisManeesh Bhargava, Danielle O Weise, Briana Q Barkes, et al.
Proteomes|February 1, 2018
Disseminating Metaproteomic Informatics Capabilities and Knowledge Using the Galaxy-P FrameworkClemens Blank, Caleb Easterly, Bjoern Gruening, et al.
Expert Review of Proteomics|October 3, 2023
A Galaxy of informatics resources for MS-based proteomicsSubina Mehta, Matthias Bernt, Matthew Chambers, et al.
Nature Microbiology|April 28, 2022
Gut microbial β-glucuronidases regulate host luminal proteases and are depleted in irritable bowel syndromeAdam L Edwinson, Lu Yang, Stephanie Peters, et al.
Biorxiv : the Preprint Server for Biology|January 7, 2025
The Microbiology Galaxy Lab: A community-driven gateway to tools, workflows, and training for reproducible and FAIR analysis of microbial dataEngy Nasr, Pierre Amato, Matthias Bernt, et al.
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