Author

Markus Meier

Max Planck Institute for Biophysical ChemistryPrimary ORCID profile (0009-0003-8292-2489 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Markus MeieriD1 paper · Max Planck Institute for Terrestrial Microbiology

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:Bayesian inference· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:protein sequence· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Johannes SödingiD· 2 shared Christian Michael RothiD· 1 shared Harald S. VöhringeriD· 1 shared Martin SteineggeriD· 1 shared Milot MirditaiD· 1 shared Stephan J. Haunsberger· 1 shared Wanwan GeiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Johannes SödingORCID

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2 papers

Recent·Most cited

Bayesian Markov models improve the prediction of binding motifs beyond first order

Wanwan Ge, Markus Meier, Christian Michael Roth, Johannes Söding

BaMMmotif2 improves binding motif prediction by modeling higher-order dependencies, achieving higher recall and speed compared to existing tools.

NAR Genomics and Bioinformatics · Apr 9, 2021Peer-reviewedBioinformatics

HH-suite3 for fast remote homology detection and deep protein annotation

Martin Steinegger, Markus Meier, Milot Mirdita, Harald S. Vöhringer, Stephan J. Haunsberger, Johannes Söding

The paper introduces HH-suite3, an accelerated version of HH-suite for faster remote homology detection and protein annotation, with significant speed improvements over previous versions and other tools.

BMC Bioinformatics · Sep 14, 2019Peer-reviewedBioinformatics