Course "New frontiers in algal omics"

Course "New frontiers in algal omics"

Organisers: Pannaga Pavan Jutur and Shireesh Srivastava (ICGEB New Delhi, India)
Co-organiser: Shashi Kumar Rhode (ICGEB New Delhi, India)

Contact: jppavan@icgeb.res.in, shireeshi@cgeb.res.in
Deadline for receipt of applications at ICGEB New Delhi: 30 July 2018
CALL FOR APPLICATIONS NOW OPEN
http://www.icgeb.org/course-application-india-algal-omics-2018.html

The ICGEB aims at strengthening the research capability of its Members through a comprehensive training programme and approach to promoting biotechnology internationally. The active participation of ICGEB Member States nationals in the ICGEB Meetings and Courses is therefore highly encouraged. For more information on the terms of participation and funding opportunities for this event please access the meeting website or contact the local organiser directly.

The course will provide theoretical and practical training on advance analytical instrumentation i.e., mass spectrometry based omics techniques and genome scale modeling to identify metabolic pathways and to engineer algal cell factories for biofuel production. The course defines a basic workflow to design an experiment i.e., nutrient deprivation triggers lipid production followed by over view of analytical procedures such as GC-MS, LC-MS and to evaluate the metabolic pathways involved in production of biofuel precursors. Understanding metabolic networks will provide an efficient framework to describe cellular metabolism in algae and can be important tool in metabolic engineering, and strain optimization. Genome-scale models integrated with omics data, such as transcriptional profiling, allows development of a meaningful systemic representation of metabolism that could improve the production of triacylglycerols (TAGs) and other biochemicals.

Topics
Omics-based approach to evaluate algal cell factories, Integration of multi-omics data and reconstruction of metabolic regulatory pathways, Data analysis and annotation of algal omics research, Genome scale modeling of algal cell factories.
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