Bioinformatics: Introduction to Next Generation Sequencing
Provided by: GSLS
Mon 10 Sep - Tue 11 Sep 2012 – Department of Genetics, Room G12
- Dates available:
- Thu 13 Jun 2013 09:30 [Full]
- Thu 25 Jul 2013 09:30 [Full]
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Bookings cannot be made on this event
(Event is completed) The following alternative dates are available: Thu 13 Jun 2013 Thu 25 Jul 2013 Register your interest - if you cannot make any of the currently scheduled dates and would be interested in additional dates being scheduled. |
Description: The aim of this course is to provide hands-on experience in analysing NGS data, including:
- Knowledge of the various sequencing technologies, data formats and analysis workflows commonly used in "'NGS'" analysis workflows
- Hands-on experience with common analytical workflows for ChIP-seq, RNASeq data and De Novo Genome Assemblies using computer exercises.
- An overview of available tools and discuss their limitations.
Further information is available.
Please note that if you are not eligible for a University of Cambridge Raven account you will need to book by email.
Target audience:
- All University members (this includes Colleges and departments)
- External participants (where spaces are available)
- Further details regarding Graduate School of Life Sciences' eligibility criteria are available
Duration: Two full day sessions
Sessions:
Number of sessions: 2
| Date | Time | Venue | Trainer |
|---|---|---|---|
| Mon 10 Sep | 09:30 - 17:30 | Department of Genetics, Room G12 | M.A. Kostadima , Remco Loos , Matthias Haimel |
| Tue 11 Sep | 09:30 - 17:30 | Department of Genetics, Room G12 | M.A. Kostadima , Remco Loos , Matthias Haimel |
Format: Presentations, demonstrations and practicals
Frequency: A number of times per year
Prerequisites: Basic experience of command line UNIX, graduate level in Life Sciences
Sufficient UNIX experience might be obtained from one of the many UNIX tutorials available online.
Aims: To provide an introduction to New Generation Sequencing, associated software and some of its applications.
Theme: SBS Practical Bioinformatics Training: Specialized Topics
