300019 SE Computational methods in microbial ecology (2017S)
Prüfungsimmanente Lehrveranstaltung
Labels
The lecture, including practical exercises, will take place on 9 Wednesdays (March 8 - May 3) from 13:00 to 16:00 in the conference room Ecology UZA 1, level 2, Althanstr. 14.
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 02.02.2017 08:00 bis Do 16.02.2017 18:00
- Abmeldung bis Fr 31.03.2017 18:00
Details
max. 30 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
The lecture, including practical exercises, will take place on 9 Wednesdays (March 8 - May 3) from 13:00 to 16:00 in the conference room Ecology UZA 1, level 2, Althanstr. 14.
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Regular quizzes and homework assignments. Participants should bring a laptop for in-class exercises.
Mindestanforderungen und Beurteilungsmaßstab
Understanding relevant mathematical and computational methods in microbial ecology. Applying these methods to typical problems in microbial ecology and designing experiments. Performing mathematical and computational experiments using typical software programs. Presenting and interpreting the results of mathematical and computational experiments. Understanding and discussing recent scientific literature.
Prüfungsstoff
This course will consist of theoretical lectures, discussion of selected scientific papers and practical exercises (mainly using the computers of the participants).
Literatur
Will be provided throughout the course on the e-learning platform.
Zuordnung im Vorlesungsverzeichnis
MMEI II-2.2, MMB W-2, MMB W-3,
Letzte Änderung: Mo 07.09.2020 15:42
- Statistics of high-dimensional data
- Estimating diversity and composition of microbial communities
- Databases and resources in microbial ecology
- DNA sequencing in microbial ecology (amplicon sequencing, shotgun metagenomics, metatranscriptomics)
- Computational pipelines for amplicon sequencing: overview, features, evaluation
- Comparison of microbial communities
- Networks in ecology: correlation vs. interaction