Dr Jerome Kelleher
Robertson Fellow; Group Leader in Biomedical Data Science
My research revolves around developing efficient algorithms to solve fundamental problems in genomics, and implementing these algorithms in production quality, open source software. This programme takes advantage of the unique structure of genetic data, combining theoretical population genetics with classical computer science. I lead development of tskit, a growing library of fundamental operations for population and statistical genomics with a welcoming open source community.
I am an advocate for the importance of software in research and a member of the UK Research Software Engineer Association.
Publisher Correction: Inferring whole-genome histories in large population datasets.
Kelleher J. et al, (2019), Nature genetics
Inferring whole-genome histories in large population datasets.
Kelleher J. et al, (2019), Nature genetics, 51, 1330 - 1338
Coupling Wright-Fisher and coalescent dynamics for realistic simulation of population-scale datasets
Nelson D. et al, (2019)
Tree-sequence recording in SLiM opens new horizons for forward-time simulation of whole genomes.
Haller BC. et al, (2019), Molecular ecology resources, 19, 552 - 566
htsget: a protocol for securely streaming genomic data.
Kelleher J. et al, (2019), Bioinformatics (Oxford, England), 35, 119 - 121