300191 UE Bioinformatics for non-bioinformaticians - how to build and analyse a transcriptome (2019W)
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 05.09.2019 08:00 to Th 19.09.2019 18:00
- Deregistration possible until Th 31.10.2019 18:00
Details
max. 16 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
The course will run from 9am until 1pm every day from the 03/02/2020 until the 14/02/2020.
Monday
07.10.
14:00 - 15:00
COSB-Seminarraum
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
1- Basic English skills;
2- Basic knowledge on molecular biology: DNA replication, transcription, translation.
2- Basic knowledge on molecular biology: DNA replication, transcription, translation.
Examination topics
Lectures and practical work.
Reading list
Association in the course directory
MZO W-3, MES5, MGE III-2, M-WZB
Last modified: Sa 22.10.2022 00:29
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.