Bioinformatics Club Freiburg

Sara Al-Rawi (IMBI): Learning interpretable latent representations for single-cell multi-omics data.

Oliver Schilling (Institute of Surgical Pathology, AG Schilling): Digging deeper into proteomics data.

Ward Deboutte (MPI): EBF1 primes B-lymphoid enhancers and limits the myeloid bias in murine.

Mohammad Lotfollahi (TU Munich): Machine learning to understand single-cell biology: from cells to patients.

Stefan Haug (GenEpi): Comparing kidney cortex and medulla with an integrative analysis of RNA-seq, ATAC-seq and HiC data.

Severin Dicks (IBSM): Accelerating scRNA-Seq analysis using GPU Computing.

Eva Brombacher (IMBI/MSB): Benchmarking of analysis strategies for data-independent acquisition proteomics data.

Maren Hackenberg (IMBI): Combining deep learning and modeling für time-series single-cell RNA-sequencing data.

Virginie Stanislas (Inst. for Prevention and Cancer Epidemiology): Design and analysis of diet-microbiome epidemiological studies.

Sebastian Preissl (Inst. of Experimental and Clinical Pharmacology and Toxicology): Uncovering cell type-specific gene regulatory programs and interpreting disease risk association using single-cell epigenomics.