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Applied Bioinformatics with R - Einzelansicht

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Grunddaten
Veranstaltungsart Vorlesung Kurztext
Veranstaltungsnummer 740828 SWS 4.00
Semester WiSe 2021/22 Studienjahr
Erwartete Teilnehmer/-innen 30 Hyperlink
Turnus jedes 2. Semester
Credits 6
Sprache englisch
Termine :
  Tag Zeit Turnus Termin Raum Lehrperson Status Bemerkung fällt aus am Max. Teilnehmer/-innen Module
Einzeltermine anzeigen -. 09:00 bis 16:00 Block 08.11.2021  bis
09.11.2021
    fällt aus

Findet in diesem Semester nicht statt.

  25


Zugeordnete Person
Zugeordnete Person Zuständigkeit
Schmitt, Armin, Prof. Dr. verantwortlich
Prüfungen / Module
Modul Studiengänge
M.iPAB.0017.Mp: Applied Bioinformatics with R
Modulbeschreibung
Master → Agrarwissenschaften →Master - Alle Schwerpunkte - Block D →M.iPAB.0017: Applied Bioinformatics with R
Master → Integrated plant and animal breeding →Master - Block B - Wahlpflichtmodule I →M.iPAB.0017: Applied Bioinformatics with R
Master → Integrated plant and animal breeding →Master - Double Degree - Block B - Elective compulsory modules →M.iPAB.0017: Applied Bioinformatics with R
Master → Agrarwissenschaften →Master - Schwerpunkt Nutzpflanzenwissenschaften - Block B →M.iPAB.0017: Applied Bioinformatics with R
Master → Agrarwissenschaften →Master - Schwerpunkt Nutztierwissenschaften - Block B →M.iPAB.0017: Applied Bioinformatics with R
Master → Angewandte Informatik →Master - SP Anw. Syst.entwickl. - MP Grundlagen der Bioinformatik - Gr.1 →M.iPAB.0017: Applied Bioinformatics with R
Master → Angewandte Informatik →Master - SP Bioinformatik - Bioinformatik - Gr.2 →M.iPAB.0017: Applied Bioinformatics with R

Weitere Informationen zu den Prüfungsordnungen und Modulverzeichnissen finden Sie hier: Studienfächer von A-Z
Zuordnung zu Einrichtungen
Züchtungsinformatik
Inhalt
Organisatorisches

Nicht im WiSe 21/22

Kommentar

Contents:
The course consists of lectures, exercises and a project work. After the lectures and the
exercises the students will have to carry out a project work that must be finished within
ten weeks after the end of the lectures. The students as well as the other research
groups are welcome to suggest topics, possibly questions related to their master thesis
can be treated. The project work should be a concise written report of about ten pages
in which one or several of the techniques that were treated in the course are applied.

This module will cover the fundamental concepts of bioinformatics. Topics will include
usage of relevant/modern biological databases and tools that are required to perform
different analyses. Further, an introduction to multi-omics-data will be given, including
genome, trancriptome and proteome analysis. This module aims to teach interested
students fundamental analysis skills to evaluate biological data using bioinformatic
techniques, and to become proficient in performing such analyses.
In more detail, following topics will be treated:
• Analysis of multi-omics data
• Standard databases in bioinformatics
• DNA sequence and genome analysis
• Variant calling techniques
• Sequence alignment
• Gene regulatory network analysis
• Clustering
The lecture will be based on the analysis of real data sets from agricultural research
projects as far as possible.

Examination requirements:
• Knowledge about the fundamental concepts of bioinformatics
• Knowledge about different databases in bioinformatics
• Analysis of biological data, interpretation and modeling og biological information
and applying this to the solution of biological problems in any area involving
molecular data.

Leistungsnachweis

Oral examination (approx. 20 minutes, 75%) and term paper (max. 10
pages, 25%)


Strukturbaum

Die Veranstaltung wurde 3 mal im Vorlesungsverzeichnis WiSe 2021/22 gefunden: