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Biomedical Informatics

Bioinformatics research in medicine is a key factor for progress in health research, particularly in cancer research.Medical bioinformatics relies on the evaluation of biological mass data, in which the use of computers in combination with reliable mathematical models and algorithms are prerequisite.In many cooperations with our national and international hospital partners, our institute has gained extensive expertise in dealing with bioinformatical medical research issues.

Head of the working group
PD Dr. Sarah Sandmann

Advice & Cooperation

We offer advice and cooperation for the following research topics:

  • DNA-seq (targeted, WES, WGS; matched- and non-matched; color space): variant calling, mutational patterns, clonal evolution, ethnicity, relation,
  • RNA-seq (bulk): expression analysis, fusion genes,
  • Spatial Transcriptomics (z.B. 10x Visium und Nanostring): Expressions-Analyse, Cluster-Analyse,
  • Single cell omics (RNA-seq, z.B. 10x Genomics, Parse Biosciences und Drop-Seq; ATAC-seq): Expressions-Analyse, Cluster-Analyse, Velocity,
  • Microarrays (SNP, aCGH, gene expression, 850K, 450K): CNV calling, expression analysis, methylation analysis,
  • Bisulfite sequencing (RRBS, WGBS): methylation,
  • ChIP-seq:  transcription factor binding sites, histones,
  • 4C-seq, Hi-C-seq: 3D chromatin structure,
  • ATAC-seq: chromatin structure,
  • Proteomics: Cluster-Analyse,
  • Lipidomics: Cluster-Analyse,
  • Additionally: pathway analyses, geneset enrichment, data integration and annotation.

Registration for counseling can be done either by e-mail or by phone.

Contact: biomedical.informatics@uni-muenster.de
Phone: +49 (0) 251 / 83 - 5 52 70