EMBL-EBI Workshop @ NIBMG – Analysis of genome scale data
An EMBL-EBI Workshop on Analysis of genome scale data from bulk and single-cell sequencing is being held at NIBMG – National Institute of Biomedical Genomics, Kalyani, West Bengal, India, 741251, United Kingdom. The dates, eligibility criteria and all other pertient information is given below:
This call expires in :
EMBL-EBI Workshop: Analysis of genome scale data from bulk and single-cell sequencing
Date: Monday 19 – Friday 23 November 2018
Venue: NIBMG – National Institute of Biomedical Genomics, Kalyani, West Bengal, India, 741251, United Kingdom
Application opens: Thursday, July 12 2018
Application deadline: Monday, October 15 2018
Participation: Open application with selection
Contact: [email protected]
Registration fee: £0
Number of places: 50 places
Organisers:
- Piraveen Gopalasingam – EMBL-EBI, UK
- Tom Hancocks – EMBL-EBI, UK
Trainers:
- Astrid Gall – EMBL-EBI, UK
- Laura Huerta Martinez – EMBL-EBI, UK
- Danielle Welter – EMBL-EBI, UK
- Cath Brooksbank – EMBL-EBI, UK
Course Overview:
This course will offer practical training to researchers in India who are engaged in study or applications which involve analyses of data generated by massively-parallel DNA sequencers using DNA isolated from bulk cells or a single-cell. This course will provide an introduction into
the technology, data evaluation, and key bioinformatics databases and tools. The content is meant to provide a broad overview of the subject areas, and also to emphasize key resources, methodologies and approaches. Topics will be delivered using a mix of lectures, practical sessions and open discussions. Practical work throughout the class will use little, example data-sets and there is not going to be scope to analyse personal data.Audience:
This course is open to all scientists and application specialists that are engaged in genome-scale research. Preference will be given to junior-level scientists that will then train others in their own institutions.
No knowledge of programming is needed, but an undergraduate level understanding of biology is needed.
Modules:
Learning outcomes:
Following This course you should be able to:
- Use basic statistics, UNIX and R commands to navigate the command line, use and interpret statistics from NGS data.
- Utilize a range of bioinformatics tools and software to undertake fundamental analysis of NGS information
- State the advantages and limitations of NGS analyses
- Apply various CNV detection methods
- Submit, browse and get a range of NGS data available in public repositories using EBI resources
The best way to apply:
So as to be considered for a place on this course applicants need to complete the online application form that may be found here.
Further information will be given on your confirmation email after completing the online form.
Incomplete applications won’t be considered.
Application deadline: 15 October 2018
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