Computational Methods for Massively Parallel Sequencing
SciLifeLab will organize the course Computational Methods for Massively Parallel
Sequencing, together with BILS.
The course will provide an introduction to a wide range of analytical techniques
for massively parallel sequencing. 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
Topics covered will include:
" NGS read-to-reference alignment (genomic and RNA-Seq)
" Variation calling in populations
" De novo assembly of genomic and RNA-Sequence data
" 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.