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Introduction to Bioinformatics using NGS data

#training
More information will follow
Course leader: Manfred Grabherr, manfred.grabherr@scilifelab.se 

Course content
The course will provide an entry-level introduction to a wide range of analytical techniques for massively parallel sequencing, including basic Linux commands. We will pair lectures on the theory of analysis algorithms with practical computational exercises demonstrating the use of common tools for analyzing data from each of several common sequencing study designs.

Topics covered will include:

Basic Linux usage
NGS read-to-reference alignment (genomic and RNA-Seq)
Variant calling in populations
De novo assembly of RNA-sequence data
Reference-guided RNA-Seq expression analysis
Analysis techniques covered will focus mostly on data from the Illumina platform, but we will discuss other sequencing platforms and the advantages and challenges to using their data.

Entry requirements
A background in genetics, cell biology, biomedicine, biochemistry, bioinformatics or comparable is desirable
To get the maximum benefit from the course we would like you to

Have relevant previous experience in sequencing or analysis
Have a research project where you are currently using next generation sequencing or are planning to use next generation sequencing
Be able to bring your own laptop for the practical computational exercises
It is beneficial if you are directly performing analyses or if you have a support role and will be able to participate in a wide range of projects and transfer your knowledge to others
Selection criteria include correct entry requirements, motivation to attend the course as well as gender and geographical balance.
When
Mon Sep 10 – Fri Sep 14, 2018
Where
SciLifeLab Uppsala, Entrance C11, BMC,, Husargatan 3, 752 37 Uppsala, Sverige (map)