I am a computer scientist with a focus on algorithm engineering and data analysis in bioinformatics, specialized on exome and whole-genome bisulphite (WGBS) data. Currently, I work as a researcher for DEEP and as PhD student in Prof. Sven Rahmanns group, Chair of Genome Informatics, University Duisburg-Essen, Germany.

Research

Publication

  • C. Schröder und S. Rahmann. A Hybrid Parameter Estimation Algorithm for Beta Mixtures and Applications to Methylation State Classification, S. 307–319. Springer International Publishing, Cham, 2016. ISBN 978-3-319-43681-4. doi:10.1007/978-3-319-43681-4_25.
  • Wallner, Stefan, Christopher Schröder, Elsa Leitão, Tea Berulava, Claudia Haak, Daniela Beißer, Sven Rahmann, et al. “Epigenetic Dynamics of Monocyte-to-Macrophage Differentiation.” Epigenetics & Chromatin 9 (2016): 33. doi:10.1186/s13072-016-0079-z.
  • Alexander Schramm, Johannes Köster, Yassen Assenov, Kristina Althoff, Martin Peifer, Ellen Mahlow, Andrea Odersky, et al. “Mutational Dynamics between Primary and Relapse Neuroblastomas.” Nature Genetics advance online publication (June 29, 2015). doi:10.1038/ng.3349.
  • Rademacher, K., Schröder, C., Kanber, D., Klein-Hitpass, L., Wallner, S., Zeschnigk, M., Horsthemke, B., 2014. Evolutionary Origin and Methylation Status of Human Intronic CpG Islands that Are Not Present in Mouse. Genome Biol Evol 6, 1579–1588. doi:10.1093/gbe/evu125

Conference / Workshop

  • Leitão E. , Wallner S. , Schröder C. , Schmitz G. , Horsthemke B. “Epigenetic dynamics of monocyte to macrophage differentiation. GfH 2014 in Lübeck
  • N. Hesse, C. Schröder und S. Rahmann. An optimization approach to detect differentially methylated regions from whole genome bisulfite sequencing data. German Conference on Bioinformatics, Dortmund, 2014.
  • C. Schröder und S. Rahmann. Efficient duplicate rate estimation from subsamples of sequencing libraries. German Conference on Bioinformatics, Dortmund, 2014.

Poster

  • Allele-specific dna methylation, Science Day 2016 on University Hospital Essen
  • Exome analysis graphical environment, ECCB 2016, Den Haag, Netherlands.
  • Genome-wide analysis of the nucleosome landscape with nome-seq, Science Day 2016 on University Hospital Essen
  • Exome Analysis GraphicaL Environment, Science Day 2015 on University Hospital Essen
  • Bioinformatics Analysis of Heterogenous Data Reveals Characteristic Mutational Landscapes of Neuroblastoma Relapses, GCB 2015 in Dortmund
  • Evaluation of LOH detection approaches on whole-genome and exome sequencing data of 30 retinoblastoma patients, GCB 2015 in Dortmund
  • Exomate: an easy to use exome sequencing analysis pipeline, GfH 2014 in Essen
  • Target identification for metabolic engineering, Science Day 2013 on University Hospital Essen

Book

  • Einführung in die Informatik. In Medizinische Informatik kompakt: Ein Kompendium für Mediziner, Informatiker, Qualitätsmanager und Epidemiologen (pp. 3-82). Berlin, Boston: De Gruyter; 2015. (Chapter)

Teaching

  • Co-supervised master thesis "Effizenzanalysen von Datenbank-Backend-Architekturen des Exom-Analyse-Systems Exomate“", Isabell Kullack, TU Dortmund, 2016
  • Co-supervised master thesis "Ein optimierungsbasierter Ansatz zur Identifikation differenziell methylierter Regionen in Genomen", Nina Hesse, TU Dortmund, 2014

Contact

emailchristopher.schroeder@tu-dortmund.de
phone+49 201 723 4046
wwwhttp://christopherschroeder.bitbucket.org
officeRoom 1.09, Virchowstr. 183, 45147 Essen, Germany
postal Dipl.-Inf. Christopher Schröder
Genominformatik, Institut für Humangenetik
Medizinische Fakultät
Universität Duisburg-Essen
Hufelandstr. 55
45122 Essen