BENJ7001 Bioinformatics for microbial ecologists - sequence processing made easy (JSS28) (1 cr)
Study level:
Postgraduate studies
Grading scale:
Pass - fail
Language:
English
Responsible organisation:
Department of Biological and Environmental Science
Curriculum periods:
2017-2018, 2018-2019, 2019-2020
Description
Content
Processing of barcoded Ion Torrent and MiSeq NGS data from multiple samples; NGS 16S rRNA gene sequence (“microbiome”) data analysis, functional gene sequence data analysis, CRISPR sequence data analysis; running mothur commands on PC and on CSC superclusters (Chipster); NGS data analysis on CLC Genomics Workbench (16S rRNA genes - also functional genes/metagenomes and transcriptome analysis possible if requested)
Completion methods
Lectures (20%) and hands-on exercises (80%) at the computer class
Learning outcomes
-
Description of prerequisites
This is a graduate course meant for PhD students & postdocs, also senior scientists and advanced MSc students. Intermediate knowledge of environmental microbiology/microbial ecology is required, especially nucleic-acid based methods. This course is especially suitable for those more familiar with the lab than the command line programs, as no previous coding experience is required. Basic understanding about the generation of NGS data (for example use of barcodes) is required, but can be accomplished by specified preliminary reading.
If we receive more applications than there are seats, participants will be selected based on a max. 1-page motivation letter where affiliation, background, current and future research plans are briefly stated, with special focus on why you need this course right now.
If we receive more applications than there are seats, participants will be selected based on a max. 1-page motivation letter where affiliation, background, current and future research plans are briefly stated, with special focus on why you need this course right now.
Completion methods
Method 1
Select all marked parts
Parts of the completion methods
x
Teaching (1 cr)
Type:
Participation in teaching
Grading scale:
Pass - fail
Language:
English