300313 SE Bioinformatic for Functional Genomics and Next-Generation Sequencing (2013W)
Continuous assessment of course work
Labels
First meeting (Vorbesprechung) Jan 13, 2014 at 5pm in the CUBE-Seminarraum 2.257 (Computational Systems Biology, UZA1, 2. Ebene, Spange 4). Participation in this first meeting is mandatory.
The seminar is takes place from Feb 17 until Feb 21, (9-17 each day) in the Seminar room 2D404 (UZA2, Althanstr. 14).
The seminar is takes place from Feb 17 until Feb 21, (9-17 each day) in the Seminar room 2D404 (UZA2, Althanstr. 14).
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Fr 06.09.2013 08:00 to Mo 23.09.2013 18:00
- Deregistration possible until Th 31.10.2013 18:00
Details
max. 20 participants
Language: English
Lecturers
Classes
Currently no class schedule is known.
Information
Aims, contents and method of the course
Assessment and permitted materials
Report (to be written in workgroups).
Minimum requirements and assessment criteria
Understanding the basic principles of next-generation sequencing methods and related bioinformatic approaches for qualitative and quantitative analysis of DNA and RNA; practical application of popular software tools to sample data, critical evaluation and interpretation of results.
Examination topics
Literature seminars on relevant papers, practical work using representative bioinformatic software, statistical analysis and data visualization.
Reading list
Will be provided during the seminar.
Association in the course directory
MMEI II-1.2, MMEI II-2.2, MOE W-5, MMI III-1, MMB W-2, MMB W-3
Last modified: Mo 07.09.2020 15:43
2) Variability in genomes: genome resequencing and SNP calling
3) Quantitative functional genomics RNASeq; Data normalization, differential expression, clustering, functional interpretation.
Basic knowledge in Bioinformatics and Genomics (as e.g. teached in lecture 300311) are required. Basic knowledge in quantitative methods in molecular biology, mathematical ans statistical methods (as e.g. teached in lecture 300010) are required.