Oberseminar Computational Genomics

Module IN2122

Lecturer Julien Gagneur

Room tba

Time Wednesdays, 9:00 - 10:30


Wed, Apr 13 Ines Scheller Improved detection of functionally relevant aberrant splicing with FRASER2
Wed, Apr 27 Alexander Karollus

How much genome biology does a deep learning model actually learn?

Wed, May 11 Pedro Tomaz da Silva The link between cellular energy and the effects of codons on mRNA translation and degradation across tissues
Wed, Jun 1 Laura Martens Improving single-cell ATAC-seq modeling using fragment counts and peak sequence
Wed, Jun 22 Nick Smith The German Human Genome Archive (GHGA) consortium
Wed, Jun 22 Vangelis Theodorakis Assessing fragment calling efficiency for scATAC-seq experiments
Wed, Jun 29 Felix Brechtmann Learning representations of gene function
Wed, Jul 6 Martin Grosshauser Self-Supervised Motif Recognition in Fungi
Wed, Jul 20 Joan Vaquer Perelló Expression Activation Analysis on gene expression data to detect oncogenes
Wed, Jul 27 Vicente A. Yépez

Predicting molecular events underlying disease using variant annotation, aberrant gene expression events, and human phenotype ontology

Wed, Sept 7 Alexandre Libourel Protein outlier calling on oncology data and improved handling of missing values
Wed, Sept 14 Justus Bredthauer Transmicron: Accurate prediction of insertion probabilities improves detection of cancer driver genes from transposon mutagenesis screens
Wed, Sept 21 Florian Hölzlwimmer Multi-tissue prediction of aberrant gene expression