The Focus of the Course
This one week intensive course will give insights into recent
advances in statistical and computational aspects of the design
and interpretation of genome-scale experiments. The topics will
include all aspects of the data analysis of high-throughput
sequencing for transcriptomics (RNA-Seq) and chromatin
dynamics (ChIP-Seq). The course is intended for researchers
with a basic understanding of these technologies and
their associated statistical and computational challenges. The
four practical sessions of the course will require basic
programming in the language R.
- Introduction to R and Bioconductor
- RNA-Seq and ChiP-Seq data analysis
- Statistics for differential expression
- Manipulation of sequences and genomic intervals
- Annotation of genes, genomic features and variants
- Gene set enrichment analysis
- Machine Learning
- High-throughput image analysis
The course consists of 10 morning lectures, 2 per day (8:30am - 12:00am), distributed
on 5 days (Monday to Friday) and 4 lab tutorials in the afternoon (2pm - 5pm) on Monday, Tuesday, Thursday and Friday.
Social program starts around 2pm on Wednesday and ends in the evening. It will include some trekking activity.
4 afternoons are dedicated to computer tutorials.
Participants are required to bring their own laptops with the most recent copy of R and Bioconductor installed.
A WiFi network card is welcome to connect to our local network.
We will have copies of both R and Bioconductor and we can help to install the software if needed once you are in Brixen.
The labs will be worked on in groups with expert guidance (all the lecturers from the morning sessions plus teaching assistants).
Will be posted soon.
Please note: the course venue will not be able
to provide you with internet access. You will be able to
connect to a local network that provides the course material.
Course material will be available here soon after the course.
Last update 24-Feb-2010