300191 UE Bioinformatics for non-bioinformaticians - how to build and analyse a transcriptome (2016W)
Continuous assessment of course work
Labels
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 We 07.09.2016 08:00 to Th 22.09.2016 18:00
- Deregistration possible until Mo 31.10.2016 18:00
Details
max. 12 participants
Language: English
Lecturers
Classes
The introductory meeting will be held on the 03.10.2016 at 14:00 in UR 8, UZA1, Biozentrum Althanstraße 14, 1090 Wien. The course will run for two weeks from the 13.02.2017 until the 24.02.2017.
Information
Aims, contents and method of the course
Assessment and permitted materials
Assessment will involve:
1) a multiple choice exam at the end of the first week - 30 % of total grade
2) the submission of a data sheet detailing the results of their transcriptome assembly and analysis 30%
3) a short group presentation comparing the results of the group members - 40%
1) a multiple choice exam at the end of the first week - 30 % of total grade
2) the submission of a data sheet detailing the results of their transcriptome assembly and analysis 30%
3) a short group presentation comparing the results of the group members - 40%
Minimum requirements and assessment criteria
Basic English skills only.
Examination topics
Lectures and practical work.
Reading list
Association in the course directory
MZO W-3, MEV W-2, MES5, MGE III-2, M-WZB
Last modified: Mo 07.09.2020 15:43
1) the Linux operational system and the command line
2) Next Generation Sequencing (NGS) data quality control and transcriptome assembly
3) Gene annotation using tools such BLAST, HMMER, signalP, TMHMM etc.
4) Data mining
5) PhylogeneticsStudents will be introduced to the command line and will learn through the practical application of various freely available bioinformatic software packages. In the first week, each student will build their own transcriptome from publicly available data and this will be used in the second week to learn about the basics of gene annotation and phylogeny.Students are required to bring their own laptop however if this is not possible, a loan of a computer can be arranged with the department.