Vladimir Yu. Kiselev
I am the head of Cellular Genetics Informatics team - a computational support team responsible for providing efficient access to cutting-edge analysis methods for Cellular Genetics faculty groups at the Sanger Institute. The Cellular Genetics department uses a combination of high throughput experimentation and computational tool development to understand the biology of cells, and leads a number of world-class research initiatives including the Human Induced Pluripotent Stem Cell Initiative (HIPSCI) and Human Cell Atlas. Our team's focus is the development and operation of scientific analysis workflows and tools for data analysis that support the department’s research goals, as well as developing the infrastructure necessary to manage the efficient operation of those workflows.
Challenges in unsupervised clustering of single-cell RNA-seq data.
Nature reviews. Genetics 2019
Predicting the mutations generated by repair of Cas9-induced double-strand breaks.
Nature biotechnology 2018
scmap: projection of single-cell RNA-seq data across data sets.
Nature methods 2018;15;5;359-362
SC3: consensus clustering of single-cell RNA-seq data.
Nature methods 2017;14;5;483-486
PTEN Regulates PI(3,4)P<sub>2</sub> Signaling Downstream of Class I PI3K.
Molecular cell 2017;68;3;566-580.e10
Tia1 dependent regulation of mRNA subcellular location and translation controls p53 expression in B cells.
Nature communications 2017;8;1;530
Proliferation Drives Aging-Related Functional Decline in a Subpopulation of the Hematopoietic Stem Cell Compartment.
Cell reports 2017;19;8;1503-1511
Perturbations of PIP3 signalling trigger a global remodelling of mRNA landscape and reveal a transcriptional feedback loop.
Nucleic acids research 2015;43;20;9663-79
Lateral dynamics of charged lipids and peripheral proteins in spatially heterogeneous membranes: comparison of continuous and Monte Carlo approaches.
The Journal of chemical physics 2011;135;15;155103
Lateral dynamics of proteins with polybasic domain on anionic membranes: a dynamic Monte-Carlo study.
Biophysical journal 2011;100;5;1261-70