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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.

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)

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
  • 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

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