Stud.IP Uni Oldenburg
University of Oldenburg
18.10.2019 09:10:59
mar622 - Profile Module R programming for (meta)-genomic sequence analysis (Complete module description)
Original version English Download as PDF
Module label Profile Module R programming for (meta)-genomic sequence analysis
Module code mar622
Credit points 6.0 KP
Workload 180 h
Faculty/Institute Institute for Chemistry and Biology of the Marine Environment
Used in course of study
  • Master's Programme Microbiology (Master) >
Contact person
Module responsibility
Authorized examiners
Entry requirements
The course „Introduction in sequencing and sequence analysis”. Previous programming experience is not required.
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 programing languages most used for this purpose is R. The course will cover the following topics:
I. programming in R using an integrated development environment (RStudio)
II. working with strings (stringr package)
III. working with lists and data frames (readr and dplyr package)
IV. sequence analysis (seqinr, Bioconductor packages: Biostrings, GenomicRanges, Decipher)
V. (meta)-genomic and data visualization (ggplot2, Gviz)
VI. Creating sequence / metadata dabases
VII. Accessing and mining sequence / metadata databases though R based web applications (Shiny, DT and Shinyjs packages)
VIII. reporting in R (Rmarkdown and Knitr packages)
IX. managing code (Roxygen2 package)
X. microbial genome annotation using R
Module contents
R programming for (meta)-genomic sequence analysis will run over a two weeks period. A single, introductory lecture will be offered within the first day of the course. Then, the course will be structured in programming exercises which cover all topics at point 12. The exercises are designed to exemplify the use R programming within the framework of microbial (meta)-genome analysis. In addition to the teacher –student sessions, the students will work on individual projects. Each student will receive a short microbial genome (e.g. viral genome), and will analyze it by building custom, self-programmed pipelines. The output from the individual projects will consist in a analysis report prepared in Rmarkdown and Knitr packages. The report will include both the R code and the genome analysis results.
Reader's advisory
will be announced
Links
Language of instruction English
Duration (semesters) 1 Semester
Module frequency once a year
Module capacity 15
Modullevel AC (Aufbaucurriculum / Composition)
Modulart Wahlpflicht / Elective
Lern-/Lehrform / Type of program Seminar and computer lab, 2 continuous weeks
Vorkenntnisse / Previous knowledge Teilnahme an mar454 Einführung in die DNA-Sequenzierung und Sequenzanalyse. Grundlagen der Programmierung in R, Grundlagen der Molekularen Taxonomie
Course type Comment SWS Frequency Workload attendance
Seminar 2.00 SuSe 28 h
Practical 2.00 SuSe 28 h
Total time of attendance for the module 56 h
Examination Time of examination Type of examination
Final exam of module
Announced during the course.
Written protocol (80%) and class participation (20%).