Below are research teams who were part of the Computational Genomics programme:
The Bateman group set out to classify proteins and certain RNAs into functional families with a view to producing a 'periodic table' of these molecules.
Population and evolutionary genomics, novel computational genomics methods, and related mathematical and statistical models.
Gene expression involves the transformation of genetic information encoded in DNA sequence into a gene product, such as a protein. Regulation of gene expression is a fundamentally important process in biology because controlling the timing, location and level of gene expression is critical for the gene product to function correctly. The majority of mutations that alter disease risk for most common diseases are thought affect gene regulation, although how these mutations actually function is not well understood in most cases. Our group uses a combination of statistical and experimental approaches to map mutations that affect gene regulation in humans.
The Genome Reference Informatics Team analyses genome assemblies to reveal and correct quality issues and to identify and add variation. It forms the Sanger division of the Genome Reference Consortium.
The Hemberg group is interested in developing quantitative models of gene expression. Our approach is theoretical and we strive to develop novel mathematical models as well as computational tools that can be used by other researchers.
The activities of the Vertebrate genome analysis team revolved around generating and presenting core vertebrate genome annotation, particularly in the form of reference genesets, and maintaining the reference genome sequences of human, mouse and zebrafish.
We are interested in all aspects of gene regulation by non-coding RNA. Current research themes include: miRNA biology and pathology, miRNA mechanism, piRNA biology and the germline, endo-siRNAs in epigenetic inheritance and evironmental conditioning, small RNA evolution and the role of RNAi in host pathogen interaction.
High-throughput sequencing has opened up a new chapter in the study of molecular evolution and genetics, allowing us to study in detail how genetic composition of populations change as they respond to external pressures such as drug therapies. Our group contributes to this effort by developing scalable methods for biomedical applications of data. We further use these data to address basic biological research questions such as how drug resistance arises.
We measure, model, and modulate cell state. We use genome engineering and synthetic biology to create cell lines that can be employed for CRISPR/Cas9-based genetic screening and high throughput cell biology assays. We develop probabilistic models as well as software tools to accurately analyse the readouts.
We are part of the Computational Genomics programme at the institute.
The Trynka group combines experimental and computational approaches to study how genetics control the immune system and predispose individuals to autoimmune diseases.
This group consists of manual annotators and software developers. The HAVANA team provides the manual annotation of human, mouse, zebrafish and other vertebrate genomes that appear in the Vega browser. Our software is written and developed by the Annosoft team.
Core Software Services encompasses: the Core Sanger Web Team; Core Bioinformatics (CoreBio); SoftWare Action Team (SWAT) and the Decipher Web Team at the Sanger Institute.