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 |