Author

Thomas Müller

Bayer (Germany)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Alberto Selvaggi· 1 shared David GnuttiD· 1 shared Erica Manesso· 1 shared Francisco de Abreu e Lima· 1 shared Holger DiedamiD· 1 shared Julie JacqueminiD· 1 shared Karl J. Schmid· 1 shared Lukas Hebig· 1 shared

Activity by Year

2016-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperGenomics

Alberto Selvaggi

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2 papers

Recent·Most cited

A deep-learning based analysis framework for ultra-high throughput screening time-series data

Patrick Balzerowski, Lukas Hebig, Francisco de Abreu e Lima, Erica Manesso, Thomas Müller, Holger Diedam, David Gnutt

This paper introduces a deep-learning framework for analyzing ultra-high throughput screening time-series data, identifying two distinct classes of substances with different biological modes of action.

bioRxiv · Aug 22, 2024 · PreprintBioinformatics

Levels and patterns of genetic diversity differ between two closely related endemic Arabidopsis species

Julie Jacquemin, Nora Hohmann, Matteo Buti, Alberto Selvaggi, Thomas Müller, Marcus A. Koch, Karl J. Schmid

This study compares genetic diversity and demographic history between two Arabidopsis species, finding lower diversity in A. cebennensis despite a larger range and a more severe population decline.

bioRxiv · Apr 15, 2016 · PreprintGenomics