Oberseminar Computational Genomics
Module IN2122
Lecturer Julien Gagneur
Room tba
Time Wednesdays, 9:00 - 10:30
Timetable
| Wed, Oct 13 | Kim Anh Lilian Le | Integration of multi-omics data in cancer driver gene prediction |
| Wed, Oct 20 | Daniela Klaproth-Andrade | De Novo Sequencing with Combinatorial Optimization and Deep Learning |
| Wed, Nov 3 | Ines Scheller | Detection of aberrant molecular events in -omics data |
| Wed, Nov 17 | Pedro Tomaz da Silva | Uncovering the link between mRNA translation and degradation across tissues and its underlying mechanisms |
| Wed, Nov 24 | Michaela Müller | Aberrant expression and splicing in non-coding RNAs |
| Wed, Dec 1 | Laura Martens | Predicting scATAC-seq from scRNA-seq using sequence based models |
| Wed, Dec 8 | Christian Mertes | The German Human Genome-Phenome Archive (GHGA) – A national infrastructure for secure archival and community-driven analysis of omics data |
| Wed, Dec 15 | Karoline Lutz | Functional consequences of aberrant splicing in rare disease |
| Wed, Jan 12 | Yanik Bruns | Predicted in vivo RNA structures improve seq-based RBP models |
| Wed, Jan 19 | Johannes Hingerl | Deep Learning for De Novo Sequencing |
| Wed, Jan 26 | Vangelis Theodorakis | Systematic evaluation of mRNA stability across conditions, using sequence based models |
| Wed, Feb 2 | Felix Brechtmann | Integrative modelling using gene embeddings advances interpretation and power of quantitative models |
| Wed, Feb 9 | Vicente Yépez | Predicting molecular events underlying disease using variant annotation, aberrant gene expression events, and human phenotype ontology - CAGI 6 challenge |
| Wed, Feb 23 | Thibault Bechtler | General Purpose Gene Embeddings for Quantitative Genetic Models |
| Wed, Mar 2 | Florian Hölzlwimmer | Multi-tissue prediction of aberrant gene regulation |
| Wed, Mar 16 | Xueqi Cao | Detecting rare driver genes using 4,200 leukemia genome and transcriptome data |
| Wed, Mar 23 | Nils Wagner | Aberant splicing prediction across human tissues |
| Wed, Mar 30 | Daniela Klaproth-Andrade | De Novo Sequencing with Combinatorial Optimization and Deep Learning |