Clinical Bioinformatics

We provide workflows for the analysis of single-cell RNA-seq as well as Cite-seq data, to inform on cell type composition, tumor heterogeneity, the immune compartment, and the expression of relevant genes and pathways.

We offer robust pipelines for somatic as well as germline SNV, InDel and CNV calling. These services span the full spectrum of panel, whole exome and whole genome data, and can be applied on a single sample or large cohorts of hundreds of samples.

Based on genomic alterations we utilize drug gene interaction databases, literature mining and clinical trials information to enrich genomic information with in-silico based predictions on potential treatment options (e.g., external page DGIdb, external page clinicaltrials.gov). These are further enriched with information based on curated databases such as external page CIViC or external page OncoKB.

We offer reproducible and scalable pipelines for the analysis of, e.g., gene expression counted based on the external page ICGC standards, or the detection of gene fusion and alternative splicing events that potentially drive disease phenotypes.

Integrative analyses combining multiple omics modalities, such as proteogenomics, allow an in-depth understanding of the mechanisms driving cell proliferation and diesease. We integrate various data types, e.g. combining genomics, transcriptomics, and proteomics evidence.

Didn't find what you were looking for? We have many other services not listed here for the sake of overview. Furthermore, we regularly include new methods and tools into our portfolio, based on project requests we get from our customers. Please let us know if you did not find the analysis you need and we will see what we can do.