S. Mehta

发表

A rigorous evaluation of optimal peptide targets for MS-based clinical diagnostics of Coronavirus Disease 2019 (COVID-19).

James E. Johnson, Andrew T Rajczewski, P. Jagtap, 2021, medRxiv : the preprint server for health sciences.

Quantitative Proteogenomic Characterization of Inflamed Murine Colon Tissue Using an Integrated Discovery, Verification, and Validation Proteogenomic Workflow

Andrew T Rajczewski, P. Jagtap, N. Tretyakova, 2022, Proteomes.

Disseminating Metaproteomic Informatics Capabilities and Knowledge Using the Galaxy-P Framework

Thilo Muth, Praveen Kumar, Subina Mehta, 2018, Proteomes.

Improve your Galaxy text life: The Query Tabular Tool

James E. Johnson, Caleb W Easterly, P. Jagtap, 2018, F1000Research.

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update

Christopher B. Barnett, Daniel J. Blankenberg, Ralf J. M. Weber, 2022, Nucleic Acids Res..

Catching the Wave: Detecting Strain-Specific SARS-CoV-2 Peptides in Clinical Samples Collected during Infection Waves from Diverse Geographical Locations

Andrew T Rajczewski, P. Jagtap, T. Griffin, 2022, Viruses.

Gut Microbial β-Glucuronidases Regulate Host Luminal Proteases and are depleted in Irritable Bowel Syndrome

Asha A. Nair, P. Jagtap, T. Griffin, 2022, Nature Microbiology.

Galaxy and Training: 2019 updates from the Galaxy Training Network

Praveen Kumar, Björn Grüning, Dave Clements, 2019 .

Galaxy Training: A powerful framework for teaching!

Daniel J. Blankenberg, Saskia D. Hiltemann, P. Jagtap, 2022, bioRxiv.

Metaproteomics Analysis of SARS-CoV-2-Infected Patient Samples Reveals Presence of Potential Coinfecting Microorganisms.

James E. Johnson, Peter S. Thuy-Boun, Andrew T Rajczewski, 2021, Journal of proteome research.

Metaproteomic analysis of nasopharyngeal swab samples to identify microbial peptides and potential co-infection status in COVID-19 patients

James E. Johnson, Andrew T Rajczewski, P. Jagtap, 2023, bioRxiv.

metaQuantome: An Integrated, Quantitative Metaproteomics Approach Reveals Connections Between Taxonomy and Protein Function in Complex Microbiomes*

Subina Mehta, Pratik D Jagtap, James E. Johnson, 2019, Molecular & Cellular Proteomics.

A sectioning and database enrichment approach for improved peptide spectrum matching in large, genome-guided protein sequence databases.

Praveen Kumar, Subina Mehta, Caleb Easterly, 2020, Journal of proteome research.

A sectioning and database enrichment approach for improved peptide spectrum matching in large, genome-guided protein sequence databases

Praveen Kumar, Subina Mehta, Caleb Easterly, 2019, bioRxiv.

ASaiM-MT: a validated and optimized ASaiM workflow for metatranscriptomics analysis within Galaxy framework

James E. Johnson, P. Jagtap, T. Griffin, 2021, F1000Research.

ASaiM-MT: a validated and optimized ASaiM workflow for metatranscriptomics analysis within Galaxy framework

Subina Mehta, James E Johnson, Pratik D Jagtap, 2021, F1000Research.

Multi-omics Visualization Platform: An extensible Galaxy plug-in for multi-omics data visualization and exploration

Praveen Kumar, Subina Mehta, Pratik D Jagtap, 2019, bioRxiv.

Bridging the Chromosome-centric and Biology/Disease-driven Human Proteome Projects: Accessible and Automated Tools for Interpreting the Biological and Pathological Impact of Protein Sequence Variants Detected via Proteogenomics.

James E. Johnson, Michael C. Ryan, P. Jagtap, 2018, Journal of proteome research.

Evaluation of moFF and FlashLFQ for label free peptide quantification in proteomic workflows within Galaxy-P framework.

Lennart Martens, Andrea Argentini, Praveen Kumar, 2018 .

Precursor Intensity-Based Label-Free Quantification Software Tools for Proteomic and Multi-Omic Analysis within the Galaxy Platform

Lennart Martens, Robert J Millikin, Michael R Shortreed, 2020, Proteomes.

Precursor Intensity-Based Label-Free Quantification Software Tools for Proteomic and Multi-Omic Analysis within the Galaxy Platform

Lennart Martens, Praveen Kumar, Andrea Argentini, 2020, bioRxiv.

Challenges in Peptide-Spectrum Matching: a Robust and Reproducible Statistical Framework for Removing Low-Accuracy, High-Scoring Hits.

Praveen Kumar, Shane L Hubler, Subina Mehta, 2019, Journal of proteome research.

Challenges in Peptide-Spectrum Matching: a Robust and Reproducible Statistical Framework for Removing Low-Accuracy, High-Scoring Hits

Praveen Kumar, Subina Mehta, Caleb Easterly, 2019, bioRxiv.

QuanTP: A Software Resource for Quantitative Proteo-Transcriptomic Comparative Data Analysis and Informatics.

Subina Mehta, Caleb Easterly, Pratik D Jagtap, 2018, Journal of proteome research.

Survey of metaproteomics software tools for functional microbiome analysis

Thilo Muth, Praveen Kumar, Subina Mehta, 2020, bioRxiv.

A rigorous evaluation of optimal peptide targets for MS-based clinical diagnostics of Coronavirus Disease 2019 (COVID-19)

James E. Johnson, Andrew T Rajczewski, P. Jagtap, 2021, Clinical Proteomics.

metaQuantome: An Integrated, Quantitative Metaproteomics Approach Reveals Connections Between Taxonomy and Protein Function in Complex Microbiomes.

James E. Johnson, P. Jagtap, T. Griffin, 2019, Molecular & cellular proteomics : MCP.

An optimized workflow for MS-based quantitative proteomics of challenging clinical bronchoalveolar lavage fluid (BALF) samples

P. Jagtap, T. Griffin, C. Wendt, 2023, Clinical Proteomics.

Integrative meta-omics in Galaxy and beyond

James E. Johnson, P. Jagtap, T. Griffin, 2023, Environmental Microbiome.