At the CGGH, we are developing new methods to track evolutionary changes in pathogens, their hosts and vectors in near real-time by integrating genomic and population genetic data with clinical and epidemiological data. Working through a number of global collaborations, we are developing the necessary infrastructure - scientific, technical and institutional - to support the use of genomics as a tool in the fight against infectious diseases.
Our work is focused on three broad areas of research with related objectives:
Data science - Developing statistical and population genetic methods to understand genetic diversity and the evolution of pathogen and vector populations.
Networks - Learning about the global diversity of pathogen and vector populations through data-sharing networks.
Technology - Developing web-based tools and resources to gather and share genetic data.
Collaboration is central to our work and we are a diverse, multidisciplinary community. At the heart of our operations is an interdisciplinary team with members located across a number of institutions in the UK, Africa and Southeast Asia - primarily Oxford University, the Wellcome Sanger Institute, and the MRC and Wellcome Trust overseas units. This core team acts a hub supporting our wider network of collaborators and data-sharing initiatives with active projects in more than 20 countries.
Building on a tradition of web-based tools that includes LookSeq, ExplorerCat and MapSeq, we developed the MalariaGEN P. falciparum web application. This project informed and inspired Panoptes, a new software framework that can be rapidly deployed to create rich, interactive web applications for exploring genetic and genomic data, while also supporting a high level of customisation to suit the unique nature of particular datasets and projects.