Function of human DNA and its variation
Our goal is to understand how human DNA functions in different contexts. To do so, we assay important aspects of cell state, create accurate and useful quantitative models of the readouts, and map the determinants of variation using genetic screens across a range of genetic or environmental backgrounds.
We are a combined computational and laboratory based research group. In the lab, we develop tools for genetic perturbations, and use synthetic biology and genome engineering to create cell lines that report on various aspects of cell state, from signaling pathway activity to cell cycle stage. We measure changes to reporter activities via growth competition, single cell RNA sequencing, as well as by fluorescence-based readouts. Computationally, we model the salient aspects of data generating processes to understand the underlying biology. We create generative models of large scale genetic screens and their outputs, and cast it in software.
The following four statements describe our approach:
1) We get things done. We start projects with clearly defined goals, and publish both positive and negative results of the ones that pass the pilot stage. We deliver to our collaborators.
2) We work on important problems. We pick projects based on how much they impact our understanding of human cells, characterize the variation of gene function across individuals, or influence how others work.
3) We succeed as a team. We have a diverse mix of backgrounds and skillsets, complementing each other with our strenghts.
4) We are excited about science. We read broadly, discuss latest developments, and keep up to date both with the depth of our field, and the entire breadth of genomics.
Dr Leopold Parts
Leo is a geneticist with broad interests in all areas of genomics. He focuses on figuring out most important features to measure in individual cells, creating accurate computational models for their readouts, and finding out how they are changed by genomes and environment. Trained in maths and computer science, he now spends his time pondering about statistics and high throughput cell biology.
We seek to explore the vast cellular diversity in the human brain using large-scale spatial transcriptomics, imaging and functional screens.
Cancer Dependency Map Analytics
Cancer, Ageing and Somatic Mutation
We design algorithms and tools to identify all cancer vulnerabilities and genetic dependencies, paving the way to new therapies
Cellular Generation and Phenotyping
The Cellular Generation and Phenotyping (CGaP) core facility provides central cell biology support to the Sanger Institute, functioning as a contract ...
Cellular Genetics Informatics
Our team provides efficient access to cutting-edge analysis methods, environments and pipelines for Cellular Genetics programme, which leads and is involved ...
Translational Cancer Genomics
The Translational Cancer Genomics team investigate how genetic alterations in cancer contribute to disease and impact on response to therapy.
In collaboration with our colleagues in Cellular Operations and Stem Cell Informatics, our work focuses on supporting and delivering the gene ...
Gene Editing and Cellular Research and Development
We develop novel genome editing techniques, cellular differentiation and cellular phenotyping systems, especially with respect to high-throughput investigation of gene and ...
Human Cell Atlas Group
We are undertaking research to develop, optimise and assess the performance of key enabling experimental and computational technologies that will underly ...
Human Genetics Administration
The Human Genetics Administration comprises a five strong team that provides comprehensive support for the smooth running of the Human Genetics ...
Rodent models of malaria
We help create models for high throughput genetic screens carried out in Dr. Billker's group.
High throughput gene editing
The High Throughput Gene Editing team helped to deliver the gene editing requirements of the Institute's faculty and research
Programmes and Facilities
Open Targets is an innovative, public-private partnership that uses human genetics and genomics data at large scale for systematic drug target ...