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

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

Institute for Chemistry and Biology of the Marine Environment 6 KP
Module components Semester courses Sommersemester 2019 Examination
Seminar
  • No access 5.13.623 - R programming for (meta)-genomic sequence analysis Show lecturers
    • Dr. Liliana Cristina Moraru

    Dates on Monday, 21.10.2019 - Friday, 25.10.2019 08:00 - 14:00, Monday, 28.10.2019 08:00 - 13:00, Tuesday, 29.10.2019 - Friday, 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
Practical training
  • No access 5.13.623 - R programming for (meta)-genomic sequence analysis Show lecturers
    • Dr. Liliana Cristina Moraru

    Dates on Monday, 21.10.2019 - Friday, 25.10.2019 08:00 - 14:00, Monday, 28.10.2019 08:00 - 13:00, Tuesday, 29.10.2019 - Friday, 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
Prerequisites
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
Module examination
Written protocol (80%) and class participation (20%)
Skills to be acquired in this module

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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