.. biostatistik documentation master file, created by sphinx-quickstart on Mon Apr 17 17:23:28 2017. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Meet-U 4EU+ -- MoBi Master -- WS 2020/2021 =========================================== **New offer in the MoBi-Master in the winter semester 2020/2021: Project module in bioinformatics with the partner Universities of the 4EU + network!** Description """"""""""" As part of the `4EU + network `_, a partnership between various master's programs in bioinformatics from the universities of Paris-Sorbonne, Milan, Prague, Warsaw and Heidelberg was concluded in summer 2020. The Master in Molecular Biotechnology is involved. As part of this partnership, joint events will be organized and student exchanges will take place. As a prelude, a **joint project module** is to take place in the 2020/2021 winter semester, which will be coordinated by the University of Paris. It is based on a teaching form that has been going on for several years at Paris-Sorbonne, `Meet-U `_. The principle: every year a new scientific topic is chosen, and corresponding projects are defined. Teams of 4 students then work on this project during one semester. The groups are accompanied by a supervisor. A final workshop will then take place in which both the students and invited keynote speakers will present. The projects are assessed by an international jury. The Project """"""""""" This year the topic is the **prediction of chromatin states from chromatin interaction data (Hi-C)**. There are two sub-projects: (a) prediction of topological associated domains (TADs) based on the Hi-C data ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Possible questions could be how important TADs are for gene expression? Are they related to other chromosomal organisation structures? Can we define a classification of TADs? What are the epigenetic marks that can help in that task? How do the parameters influence the detection? (b) prediction of compartments that represent active or repressed states of chromatin +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ The classical resolution for detecting compartments is 100 kb. What if we increase that resolution? Can we extract more meaningful information? Can we detect the compartments based on inter-chromosomal contacts (instead of intra)? What are the biological implications? Can we define more than two compartments? What kind of epigenetic markers can help us determine a meaningful number and meaningful boundaries? In the course of the project, teams on topic (a) will be paired with teams on topic (b) across univiersities, in order to bring both sub-projects together. Datasets will be provided, and computing resources will be allocated locally to each team. Additional information """"""""""""""""""""""" * [:download:`Teaser slides <../documents/meetU-teaser.pptx>`] * [:download:`Detailled description of the challenge <../documents/opening2021.pptx>`] Organisation """"""""""""" **Important! The introductory event will take place online on October 9, 2020, from 2pm till 4pm**. The principles of the module should be explained again and the practical details discussed. Students who are interested should send a **short application email by Tuesday, October 6th latest to carl.herrmann@uni-heidelberg.de (Subject: “Application for Meet-U”)**, stating: * Why they are interested in this topic; * What are their skills in programming and data analysis; * If possible, the names of their teammates.