mar622 - Profile Module R programming for (meta)-genomic sequence analysis

mar622 - Profile Module R programming for (meta)-genomic sequence analysis

Institut für Chemie und Biologie des Meeres (ICBM) 6 KP
Modulteile Semesterveranstaltungen Sommersemester 2019 Prüfungsleistung
Seminar
  • Kein Zugang 5.13.623 - R programming for (meta)-genomic sequence analysis Lehrende anzeigen
    • Dr. Liliana Cristina Moraru

    Termine am Montag, 21.10.2019 - Freitag, 25.10.2019 08:00 - 14:00, Montag, 28.10.2019 08:00 - 13:00, Dienstag, 29.10.2019 - Freitag, 01.11.2019 08:00 - 14:00
    The course "Introduction in sequencing and sequence analysis". Previous programming experience is not requiered. Proportionale Aufteilung zwischen Master Marine Umweltwissenschaften und Master Microbiology. Proportional division between Master Environmental Sciences and Microbiology

Praktikum
  • Kein Zugang 5.13.623 - R programming for (meta)-genomic sequence analysis Lehrende anzeigen
    • Dr. Liliana Cristina Moraru

    Termine am Montag, 21.10.2019 - Freitag, 25.10.2019 08:00 - 14:00, Montag, 28.10.2019 08:00 - 13:00, Dienstag, 29.10.2019 - Freitag, 01.11.2019 08:00 - 14:00
    The course "Introduction in sequencing and sequence analysis". Previous programming experience is not requiered. Proportionale Aufteilung zwischen Master Marine Umweltwissenschaften und Master Microbiology. Proportional division between Master Environmental Sciences and Microbiology

Hinweise zum Modul
Teilnahmevoraussetzungen
Participation in the course „Introduction in sequencing and sequence analysis”. Previous programming experience is not required.
Kapazität/Teilnehmerzahl 15 (
Proportional allocation between Master MUWI and Master Microbiology.
)
Prüfungszeiten
Will be announced during the course
Prüfungsleistung Modul
Written protocol (80%) and class participation (20%)
Kompetenzziele

DNA sequencing has become a routine method in microbiology research. Most of the times, sequence analysis requires knowledge of a programming language.  One of the programming languages most used for this purpose is R.

After successful participation the students will have the competence to understand, interpret and carry out simple genome sequence analyses. They will acquire transferable skills in using R


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