To develop a system-level view of biological systems and their response to various internal and external factors, through the integration of advanced NGS and 3GS sequencing data with functional annotation using established concepts of graph theories widely applied for various assemblers such de-Bruiin and Overlap-layout consensus. This course gives an insight on the details of omic-scale/big-data-driven life science making use of core platform technologies.
At a glance
- DurationFive days
- LocationCranfield campus
What you will learn
On successful completion of this course you will be able to:
- Critically assess the technical limitations and the underlying biological and experimental assumptions that impact on data quality,
- Apply and optimise various algorithms for short and long reads sequence assembly,
- Successfully develop and optimise de-novo genome assemblies for various species3,
- Develop in-silico gene prediction models and functional annotation4,
- Effectively apply graph theory and its application in biological data analysis.
- How research is conducted in genome bioinformatics and within the broader context of interdisciplinary life sciences,
- Advanced Java programming,
- Application of graph-theory using Java,
- Advanced Next-Generation Sequencing informatics,
- De-novo genome assembly,
- Gene prediction and functional annotation.
Upgrade to a professional qualification
Cranfield credits are available for this short course which you can put towards selected Cranfield degrees. Find out more about short course credit points.
SpeakersDr Fady Mohareb
Accommodation options and prices
This is a non-residential course. If you would like to book accommodation on campus, please contact Mitchell Hall or Cranfield Management Development Centre directly. Further information regarding our accommodation on campus can be found here.
Alternatively you may wish to make your own arrangements at a nearby hotel.
Location and travel
Cranfield University is situated in Bedfordshire close to the border with Buckinghamshire. The University is located almost midway between the towns of Bedford and Milton Keynes and is conveniently situated between junctions 13 and 14 of the M1.
London Luton, Stansted and Heathrow airports are 30, 90 and 90 minutes respectively by car, offering superb connections to and from just about anywhere in the world.
Read our Professional development (CPD) booking conditions.