Oberseminar Computational Genomics

Module IN2122

Lecturer Julien Gagneur

Room tba

Time Wednesdays, 9:00 - 10:30

Timetable

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