print

Language Selection

User Menu

Breadcrumb Navigation

Main Navigation

Content

Network- and Expression data Analysis Practical course (WS 2015/16, NEAP)

  General Information
  • Room: Seminar room A 406 + A 305/308, Amalienstr. 17
  • Start and introduction: Tuesday,13.10.2015 15:00, A 406
  • Zeit:
    • During the semester: Tuesday (12:00-18:00), Thursday (14:00-18:00, Presentations)
    • On tuesdays and thursday mornings you can work freely on your topics. For the presentations your attendance is mandatory.
    • Semester break: 2 week block course 15.2.-29.2.2015
      or during the semester break with exam binning of APril 2016.
  • Credits:: 10 SWS / 12 ECTS (10P/Block)
  • Final of the course will be the Gobi2016/NEAP2016 Conference.
Teilnehmer

Participants of this lab:

  • Alexander Grün
  • Max Herzog

Internal web page

At the beginning of the semester all required material will be provided at the interal Webpage (Internal web page)

Topic/Description
This lab deals with the current versions of the major large-scale compendia of experimental high-throughput data (TCGA, ENCODE, Roadmap Epigenetics). Students learn aboutt the data types in thes compendia and the bioinformatics methods to analyse them. Every team will work on a specific bioinformatics problem in connection with compendia datasets.

The specific topics will be presented during the introductory meeting. Each topic will be worked on by a siingle student or a team of two participants.
Course structure
The course has three parts:
  1. Seminar and methods
  2. Implementation of a novel approach
  3. Application to current data and writing of manuscript
Please note: During the seminar part, talks might take place on tuesday AND thursday to speed up the basic introduction (due to several holidays in the summer term)
Course instructuors
Prerequisites
  • Bachelor Bioinformatics
  • Bioinformatics programming course
  • Practical Genome-oriented bioinformatics
Good programming skills in Java under Linux will be required. The practical course will be performed in small groups of 3-4 students.
Criteria for the credits
  1. Seminar talks
  2. Exam on the web-based system for Atheronetwork an Atheroindex
  3. Report, manuscript or paper


Service Menu

Footer