Author

Matthias Fahrner

University of FreiburgORCID 0000-0001-7955-2518Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Assay:proteomics· 2 Research Focus:software / tool· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Björn Andreas GrüningiD· 2 shared Melanie Christine FölliD· 2 shared Oliver SchillingiD· 2 shared Adrianna Seredynska· 1 shared Andrea Ritter· 1 shared Anna SymeiD· 1 shared Anne FouillouxiD· 1 shared Anthony BretaudeauiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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2 shared papersBioinformatics

Björn Andreas GrüningORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMay 24, 2024

Serum Proteome Profiling Identifies N-Cadherin and C-Met as Early Marker Candidates of Therapeutic Response to Neoadjuvant Chemotherapy in Breast Cancer

Ines Derya Steenbuck, Miguel Cosenza‐Contreras, Klemens Fröhlich…·Oliver Schilling

1 citation

humanproteomics

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BioinformaticsPLoS Computational BiologyPeer-reviewedJan 9, 2023

Galaxy Training: A Powerful Framework for Teaching!

Saskia Hiltemann, Helena Rasche, Simon L. Gladman…·the Galaxy Training Network

The paper introduces Galaxy Training Network (GTN) as a framework for creating and sharing FAIR training materials for data analysis, with recent improvements to support educators and expand its use in various learning environments.

115 citationstop 1%

database / resourcebenchmarking

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BioinformaticsGigaSciencePeer-reviewedJan 1, 2022

Democratizing Data-Independent Acquisition Proteomics Analysis on Public Cloud Infrastructures Via The Galaxy Framework

Matthias Fahrner, Melanie Christine Föll, Björn Andreas Grüning…·Oliver Schilling

The paper provides a Galaxy-based pipeline for DIA proteomics analysis, enabling reproducible and accessible processing through a web interface.

13 citations

proteomicsstatistical model

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