S
Sven Rahmann
Researcher at University of Duisburg-Essen
Publications - 182
Citations - 7917
Sven Rahmann is an academic researcher from University of Duisburg-Essen. The author has contributed to research in topics: Substring & Gene. The author has an hindex of 38, co-authored 177 publications receiving 6220 citations. Previous affiliations of Sven Rahmann include Max Planck Society & Free University of Berlin.
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Journal ArticleDOI
Snakemake--a scalable bioinformatics workflow engine.
Johannes Köster,Sven Rahmann +1 more
TL;DR: Snakemake is a workflow engine that provides a readable Python-based workflow definition language and a powerful execution environment that scales from single-core workstations to compute clusters without modifying the workflow.
Journal ArticleDOI
Sustainable data analysis with Snakemake.
Felix Mölder,Kim Philipp Jablonski,Kim Philipp Jablonski,Brice Letcher,Michael B Hall,Christopher Tomkins-Tinch,Christopher Tomkins-Tinch,Vanessa Sochat,Jan Forster,Jan Forster,Soohyun Lee,Sven Twardziok,Alexander Kanitz,Alexander Kanitz,Andreas Wilm,Manuel Holtgrewe,Sven Rahmann,Sven Nahnsen,Johannes Köster,Johannes Köster +19 more
TL;DR: It is shown how the popular workflow management system Snakemake can be used to guarantee reproducibility, and how it enables an ergonomic, combined, unified representation of all steps involved in data analysis, ranging from raw data processing, to quality control and fine-grained, interactive exploration and plotting of final results.
Journal ArticleDOI
Exome sequencing identifies recurrent somatic mutations in EIF1AX and SF3B1 in uveal melanoma with disomy 3.
Marcel Martin,Marcel Martin,Lars Maßhöfer,Petra Temming,Sven Rahmann,Claudia H D Metz,Norbert Bornfeld,Johannes van de Nes,Ludger Klein-Hitpass,Alan G. Hinnebusch,Bernhard Horsthemke,Dietmar R. Lohmann,Michael Zeschnigk +12 more
TL;DR: Using exome sequencing, recurrent somatic mutations in EIF1AX and SF3B1 are identified occurring in uveal melanomas with disomy 3, which rarely metastasize and are associated with poor prognosis.
Journal ArticleDOI
HMM Logos for visualization of protein families
TL;DR: This work presents a visualization method that incorporates both emission and transition probabilities of the pHMM, thus extending sequence logos introduced by Schneider and Stephens, and demonstrates that HMM Logos can be a useful tool for the biologist.
Journal ArticleDOI
Mutational dynamics between primary and relapse neuroblastomas
Alexander Schramm,Johannes Köster,Johannes Köster,Yassen Assenov,Kristina Althoff,Martin Peifer,E Mahlow,Andrea Odersky,Daniela Beisser,Corinna Ernst,Anton G. Henssen,Anton G. Henssen,Anton G. Henssen,Harald Stephan,Christopher Schröder,Lukas C. Heukamp,Anne Engesser,Yvonne Kahlert,Jessica Theissen,Barbara Hero,Frederik Roels,Janine Altmüller,Peter Nürnberg,Kathy Astrahantseff,Christian Gloeckner,Katleen De Preter,Christoph Plass,Sangkyun Lee,Holger N. Lode,Kai Oliver Henrich,Moritz Gartlgruber,Frank Speleman,Peter Schmezer,Frank Westermann,Sven Rahmann,Sven Rahmann,Matthias Fischer,Angelika Eggert,Angelika Eggert,Johannes H. Schulte,Johannes H. Schulte,Johannes H. Schulte +41 more
TL;DR: The mutational burden significantly increased in relapsing tumors, accompanied by altered mutational signatures and reduced subclonal heterogeneity and global allele frequencies at relapse indicated clonal mutation selection during disease progression.