300313 SE Bioinformatic for Functional Genomics and Next-Generation Sequencing (2013W)
Prüfungsimmanente Lehrveranstaltung
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).
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Fr 06.09.2013 08:00 bis Mo 23.09.2013 18:00
- Abmeldung bis Do 31.10.2013 18:00
Details
max. 20 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
Zur Zeit sind keine Termine bekannt.
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Report (to be written in workgroups).
Mindestanforderungen und Beurteilungsmaßstab
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.
Prüfungsstoff
Literature seminars on relevant papers, practical work using representative bioinformatic software, statistical analysis and data visualization.
Literatur
Will be provided during the seminar.
Zuordnung im Vorlesungsverzeichnis
MMEI II-1.2, MMEI II-2.2, MOE W-5, MMI III-1, MMB W-2, MMB W-3
Letzte Änderung: 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.