Author

Oliver Alka

University of TübingenORCID 0000-0001-5046-4565Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Assay:metabolomics· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Oliver KohlbacheriD· 3 shared Hannes Luc RöstiD· 2 shared Timo T. SachsenbergiD· 2 shared Abinesh Sarvepalli· 1 shared Aiko BarschiD· 1 shared Alan K. JarmuschiD· 1 shared Alexander A. AksenoviD· 1 shared Alexey A. GurevichiD· 1 shared

Activity by Year

2020-2020 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Oliver KohlbacherORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 8, 2020

DIAproteomics: A multi-functional data analysis pipeline for data-independent-acquisition proteomics and peptidomics

Leon Bichmann, Shubham Gupta, George Rosenberger…·Hannes Luc Röst

DIAproteomics is an automated pipeline for analyzing DIA proteomics and peptidomics data, offering tools for spectral library generation, alignment, and statistical analysis.

6 citations

proteomicsstatistical model

𝕏 PostBluesky

BioinformaticsAnalytical ChemistryPeer-reviewedDec 3, 2020

SmartPeak automates targeted and quantitative metabolomics data processing

Svetlana Kutuzova, Pasquale Colaianni, Hannes Luc Röst…·Douglas McCloskey

SmartPeak automates metabolomics data processing with algorithms for alignment, calibration, and peak integration, improving reproducibility and throughput.

40 citations

metabolomicsstatistical model

𝕏 PostBluesky

BioinformaticsNature MethodsPeer-reviewedAug 24, 2020

Feature-based Molecular Networking in the GNPS Analysis Environment

Louis-Félix Nothias-Scaglia, Daniel Petras, Robin Schmid…·Pieter C. Dorrestein

The paper introduces FBMN, a method for improving molecular networking by enhancing quantitative analysis and isomer distinction using feature detection and alignment tools in the GNPS platform.

1,660 citationstop 1%

metabolomicsstatistical model

𝕏 PostBluesky