Our group AlphaGenes focusses on the development and application of quantitative genetics methods and computational approaches for animal and plant breeding programs and human genetics. Currently our overarching research aim relates to the development of what we call “Genomic Selection 2.0“. We envisage that GS2.0 would be underpinned by huge quantities of sequence data generated at low cost and could enable several new ways of driving genetic improvement and biological insight. Specifically we are developing the algorithms, software and strategies for generating and analysing data on this scale and new breeding program designs to derive breeding benefit.
A post-doctoral research vacancy is available in the research group led by John Hickey at The Roslin Institute. We seek a highly motivated, creative and independent researcher to work on the development of computational solutions applied to processing and analysing large datasets. The projects objectives are to harness huge amounts of data in order to accelerate the rate of genetic improvement applied to livestock and plant breeding programmes in order to deliver real improvements in productivity and sustainability of food production around the world.
For more information and to apply, go to Post Doctoral Researcher vacancy reference 040259.
Closing date 27/07/2017.
Geno Partnership – Geno, which is an internationally leading cattle breeding organisation based in Norway, and the AlphaGenes group of The Roslin Institute have established a research partnership. More information can be found here.
AlphaSim1.06 – We are delighted to announce the first release of the new AlphaSim Graphical User Interface (GUI), which allows the user to swiftly and simply simulate scenarios using AlphaSim, the AlphaGenes simulation software.
Want to simulate the effect of a different selection method, the effect of having many more recombinations or the effects of using optimal contribution selection on your population? The GUI makes it easy to simulate these and more! Design your simulation graphically using a modular structure. Quickly get an overview of your simulation and compare different scenarios using the same base population, or design new simulations with completely new populations. In short, using the GUI will make designing your simulations easier than ever before!
This release is a preliminary version of the GUI and the developers would welcome feedback on the user experience. A number of introductory tutorials can be found at the end of the user’s manual.