The Genome Analysis Centre receives strategic funding from the BBSRC
The Computational Genomics team, led by Sarah Ayling, is responsible for implementing and executing high-throughput analysis pipelines to analyse plant, animal and viral genomes.
The Ayling group focuses on supporting crop improvement through the application of genomics approaches. The group develops and implements assembly approaches for complex plant genomes; identifying and characterising genetic diversity and its effects for traits of agronomic interest; and developing genomic tools and resources for plant breeders, researchers and genebanks.
The Computational Genomics team is also part of the BBSRC funded LoLa project “Wheat Genomics for Sustainable Agriculture” . The project aims to generate wheat gene models assigned to specific chromosome arms, and improved assemblies for wheat chromosomes 2B, 4B and 4D.
As part of the UK's barley sequencing consortium, they have been analysing barley RNA-Seq data in collaboration with the James Hutton Institute. In addition, they will be calling variants from exome capture data from diverse barley lines.
The team is part of the EU TransPLANT project “Trans-national infrastructure for plant genomic science”, where they lead the work package on implementation of resource-intensive algorithms for plant genomics data. The team's focus is on the evaluation and development of strategies for genome sequencing and assembly.
In addition they are working on several virus projects with collaborators from the Centre for Virus Research, Institute for Animal Health and the Animal Health Trust.
As part of the International Wheat Genome Sequencing Consortium , the Crop Genomics team is working to assemble flow-sorted chromosome arms for the Chromosome Survey Sequence of hexaploid bread wheat. Assembled chromosomes are available from URGI .
Continue to work with the Genetic Resources community to help develop guidelines and resources through participating in initiatives such as DivSeek
Integrate phenomics and genomics data to develop resources for crop researchers
Develop informatics tools and resources for breeders through increasing interactions to ensure that their needs are correctly identified and met