Research Group Julien Gagneur
Julien Gagneur
is Assistant Professor for Computational Biology at TU Munich.
His research focuses on delineating the genetic basis of gene regulation and its implication in diseases. To this end, he is developing statistical and machine learning algorithms and works with experimentalists to design novel experimental approaches. His group is also developing strategies to pinpoint the cause of genetic disorders by integrating data from genetics and 'multiomics' disciplines such as transcriptomics and proteomics.
Team members @MCML
Publications @MCML
[3]
F. Brechtmann, T. Bechtler, S. Londhe, C. Mertes and J. Gagneur.
Evaluation of input data modality choices on functional gene embeddings.
NAR Genomics and Bioinformatics 5.4 (Dec. 2023). DOI.
Evaluation of input data modality choices on functional gene embeddings.
NAR Genomics and Bioinformatics 5.4 (Dec. 2023). DOI.
MCML Authors
[2]
P. T. da Silva, Y. Zhang, E. Theodorakis, L. D. Martens, V. A. Yépez, V. Pelechano and J. Gagneur.
Cellular energy regulates mRNA translation and degradation in a codon-specific manner.
Preprint at bioRxiv (2023). DOI.
Cellular energy regulates mRNA translation and degradation in a codon-specific manner.
Preprint at bioRxiv (2023). DOI.
MCML Authors
[1]
A. Karollus, J. Hingerl, D. Gankin, M. Grosshauser, K. Klemon and J. Gagneur.
Species-aware DNA language models capture regulatory elements and their evolution.
Preprint at bioRxiv (2023). DOI.
Species-aware DNA language models capture regulatory elements and their evolution.
Preprint at bioRxiv (2023). DOI.