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300191 UE Bioinformatics for non-bioinformaticians - how to build and analyse a transcriptome (2017W)
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 Th 07.09.2017 08:00 to Th 21.09.2017 18:00
- Deregistration possible until Tu 31.10.2017 18:00
Details
max. 12 participants
Language: English
Lecturers
Classes
The preliminary meeting will be held on the 02.10.2017 at 10am in room 1.063 in the Department of Integrative Zoology, UZA1, Biozentrum Althanstraße 14, 1090 Vienna. The course will be held from the 05.02.2018-16.02.2018 every day from 9am until 1pm.
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 operating 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.