Universität Wien
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300191 UE Bioinformatics for non-bioinformaticians - how to build and analyse a transcriptome (2016W)

3.00 ECTS (3.00 SWS), SPL 30 - Biologie
Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 12 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine

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

Ziele, Inhalte und Methode der Lehrveranstaltung

This course is aimed at masters students who have little or no experience with bioinformatics but are interested in learning the basics of transcriptomics. Students will be introduced to:
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) Phylogenetics

Students 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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

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%

Mindestanforderungen und Beurteilungsmaßstab

Basic English skills only.

Prüfungsstoff

Lectures and practical work.

Literatur

Zuordnung im Vorlesungsverzeichnis

MZO W-3, MEV W-2, MES5, MGE III-2, M-WZB

Letzte Änderung: Mo 07.09.2020 15:43