Multi-relational Association Mining Software for Genome Wide Association
04 July 2012
Dr Amanda Clare has been awarded a BBSRC grant starting on 1st July 2012 to create bioinformatics software.
Recent advances in DNA sequencing technology and the subsequent development of low-cost, high-density genotyping approaches have made genome wide surveys of DNA polymorphism affordable in many organisms.
This work will produce data mining software that can find complex associations between the genotype (DNA characteristics) and the phenotype (physical characteristics) of an organism, conducting genome wide association studies. We will produce software that can find multi-relational associations in large amounts of inter-related data. We will then apply this software to a case study at Aberystwyth, for analysis of our population of the bio-energy crop Miscanthus. We'll also produce an activity for schools, as part of the Technocamps scheme, that teaches children about the area of bioinformatics and the use of computers in understanding differences in DNA.
The co-investigators are Elaine Jensen, Gancho Slavov and Lin Huang, all of IBERS.
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