Technical Lead in Bioinformatics at the Institute of Molecular and Computational Medicine
I joined the Institute of Molecular and Computational Medicine as Technical Lead in Bioinformatics in April 2023. In this role, I lead the bioinformatics and computational biology efforts of Oxford-based IMCM bioinformaticians and other researchers undertaking computational work. I also conduct hands-on bioinformatics work myself, developing and implementing methods for the analysis of novel data types, and building workflows to align analyses across the different IMCM projects.
I am a bioinformatician, computational biologist and software engineer, with an MEng in Computing from Imperial College London, and a DPhil in Bioinformatics from the University of Oxford. Prior to joining the IMCM, I was Deputy Manager of the Bioinformatics Core Facility at the Wellcome Centre for Human Genetics, and, before that, I held postdoctoral positions at the University of Oxford and the Medical Research Council. In these positions, I contributed to projects spanning the whole bioinformatics process, from conducting the primary analyses of raw experimental data, to developing and employing downstream, higher-level computational methods for contextualising, integrating and interpreting functional genomics experimental results.
My DPhil was in mouse genomic variation, however I moved into human disease with my second postdoctoral position, and have since been involved in a variety of research areas, including ADHD, prostate cancer and cardiovascular diseases.
GeneFEAST: the pivotal, gene-centric step in functional enrichment
Taylor A. et al, (2023)
Gene Networks Underlying Convergent and Pleiotropic Phenotypes in a Large and Systematically-Phenotyped Cohort with Heterogeneous Developmental Disorders
Andrews T. et al, (2015), PLOS Genetics, 11, e1005012 - e1005012
Duplications in ADHD patients harbour neurobehavioural genes that are co‐expressed with genes associated with hyperactivity in the mouse
Taylor A. et al, (2015), American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 168, 97 - 107
GeneNet Toolbox for MATLAB: a flexible platform for the analysis of gene connectivity in biological networks
Taylor A. et al, (2015), Bioinformatics, 31, 442 - 444
The genomic landscape shaped by selection on transposable elements across 18 mouse strains
Nellåker C. et al, (2012), Genome Biology, 13, R45 - R45