Author

Clemens Messerschmidt

Berlin Institute of Health at Charité - Universitätsmedizin BerlinORCID 0000-0001-8632-656XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 4 Assay:bulk RNA-seq· 3 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:batch correction / integration· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Dieter BeuleiD· 4 shared Manuel HoltgreweiD· 3 shared Alistair T. PagnamentaiD· 1 shared Andreas MeiseliD· 1 shared Arianna TucciiD· 1 shared Arunraj DhamodaraniD· 1 shared Benedikt ObermayeriD· 1 shared Celeste SassiiD· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

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4 shared papersBioinformatics

Dieter BeuleORCID

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4 papers

Recent·Most cited

Ide copy number variant does not influence lesion size and mortality in two C57BL/6J mouse models of cerebrovascular ischemia nor in human cerebrovascular disease. An exploratory study

Marco Foddis, Sonja Blumenau, Susanne G. Mueller, Clemens Messerschmidt, Clarissa Rocca, Alistair T. Pagnamenta, Katarzyna Winek, Matthias Endres, Andreas Meisel, Arianna Tucci, José Brás, Rita João Guerreiro, Dieter Beule, Ulrich Dirnagl, Celeste Sassi

The paper investigates whether Ide copy number variants influence vascular phenotypes in mice and humans, finding no significant association.

bioRxiv · May 15, 2024 · PreprintGenetics

SCelVis: Powerful explorative single cell data analysis on the desktop and in the cloud

Benedikt Obermayer, Manuel Holtgrewe, Mikko Nieminen, Clemens Messerschmidt, Dieter Beule

SCelVis provides a flexible, user-friendly tool for visualizing and analyzing single-cell data on desktop and cloud platforms.

PeerJ · Feb 19, 2020Peer-reviewedBioinformatics

Identification and Ranking of Recurrent Neo-Epitopes in Cancer

Eric Blanc, Manuel Holtgrewe, Arunraj Dhamodaran, Clemens Messerschmidt, Gerald Willimsky, Thomas J. F. Blankenstein, Dieter Beule

The paper identifies and ranks recurrent neo-epitopes in cancer using TCGA data and MHC class I binding prediction to prioritize candidates for immunotherapy.

BMC Medical Genomics · Nov 27, 2019Peer-reviewedGenomics

HLA-MA: Simple yet powerful matching of samples using HLA typing results

Clemens Messerschmidt, Manuel Holtgrewe, Dieter Beule

HLA-MA matches samples using HLA typing results from HTS data, providing reliable re-identification even with high mutational loads.

Bioinformatics · Mar 9, 2017Peer-reviewedBioinformatics