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Wed 17 Jun - Fri 19 Jun 2015
09:30 - 17:30

Venue: Bioinformatics Training Room, Craik-Marshall Building

Provided by: Bioinformatics


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Whole Exome Sequencing and RNA-sequence data analysis
Prerequisites

Wed 17 Jun - Fri 19 Jun 2015

Description

This course covers state-of-the-art tools and methods for NGS RNA-seq and exome variant data analysis, which are of major relevance in today's genomic and gene expression studies.

It is oriented to experimental researchers, post-doctoral and PhD students who want to learn about the state-of-the-art of genomic variant and transcriptomics data analysis methodologies and carry out their own analysis.

Further information is available here.

Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by linking here.

Target audience
  • Graduate students, Postdocs and Staff members from the University of Cambridge, Affiliated Institutions and other external Institutions or individuals
  • Further details regarding eligibility criteria are available here
  • Further details regarding the charging policy are available here
Prerequisites
  • Basic computing skills
  • Graduate level in Life Sciences
Sessions

Number of sessions: 3

# Date Time Venue Trainers
1 Wed 17 Jun 2015   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building map David Montaner,  Marta Bleda,  Joaquin Dopazo
2 Thu 18 Jun 2015   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building map David Montaner,  Marta Bleda,  Joaquin Dopazo
3 Fri 19 Jun 2015   09:30 - 17:30 09:30 - 17:30 Bioinformatics Training Room, Craik-Marshall Building map David Montaner,  Marta Bleda,  Joaquin Dopazo
Aims

The aim of this course is to familiarize the students with the latest analysis methodologies and to provide hands-on training on the analytical approaches implemented for RNA-seq data and whole exome variant analysis.

Format

Presentations and practicals

Notes

A slightly longer version of this course is regularly offered as a part of "The Gulbenkian Training Programme in Bioinformatics". For further details of how to apply, see: http://gtpb.igc.gulbenkian.pt/bicourses/

Duration

3

Frequency

A number of times per year

Theme
Bioinformatics

Booking / availability