Richard Leggett - Project Leader
Richard is QC & Primary Analysis Project Leader, leading the team responsible for carrying out the initial analysis of sequence data from TGAC's main platforms. This includes understanding data quality and contamination issues, as well as developing tools and pipelines to best handle new sequencing technologies and laboratory protocols.
Richard's research interests also include the development of assembly algorithms, particularly those aimed at metagenomic data. He is involved in the ongoing development of the Cortex assembler. Software tools Richard supports can be found at:
Graduating in Physics, Richard spent 10 years working as a software engineer, before undertaking an MSc in Advanced Computing Science and a PhD in Computational Biology. His PhD thesis was entitled, "Computational approaches for the analysis and modelling of filamentous growth and branching of Steptomyces coelicolor". Following the PhD, and prior to joining TGAC, Richard was a postdoc at The Sainsbury Laboratory, Norwich, looking at novel methods for SNP detection in reference-free organisms.
K.S. Baker, R.M. Leggett, N.H. Bexfield, M. Alston, G. Daly, S. Todd, M. Tachedjian, C.E. Holmes, S. Crameri, L.F. Wang, J.L. Heeney, R. Suu-Ire, P. Kellam, A.A. Cunningham, J.L. Wood, M. Caccamo, P.R. Murcia (2013). Metagenomic study of the viruses of African straw-coloured fruit bats: Detection of a chiropteran poxvirus and isolation of a novel adenovirus. Virology, doi 10.1016/j.virol.2013.03.014.
R.M. Leggett, R.H. Ramirez-Gonzalez, W. Verweij, C.G. Kawashima, Z. Iqbal, J.D.G. Jones, M. Caccamo, D. MacLean (2013). Identifying and classifying trait linked polymorphisms in non-reference species by walking coloured de Bruijn graphs. PLoS ONE 8(3): e60058. doi:10.1371/journal.pone.0060058.
N. Holmes, J. Walshaw, R.M. Leggett, A. Thibessard, K.A. Dalton, M.D. Gillespie, A.M. Hemmings, B. Gust, G.H. Kelemen (2013). Coiled-coil protein Scy is a key component of a multiprotein assembly controlling polarized growth in Streptomyces. PNAS 110(5):E397-E406.
M. Groenen et al. (2012). Analyses of pig genomes provide insight into porcine demography and evolution. Nature 491:393-398.
D. Earl et al. (2011). Assemblathon 1: A competitive assessment of de novo short read assembly methods. Genome Research, 21(12):2224–2241.
R.M. Leggett, R.H. Ramírez-González, M. Caccamo, “MetaCortex: Classification of short-read sequences from environmental samples“, Genome Informatics, Cambridge, September 2012.
D. Heavens, D. Vasoya, R. Leggett, N. Drou, M. Caccamo, M. Clark, “Improving de novo assemblies of GC-rich Microbial Genomes by Combining Complementing Sequence Technologies”, UKNGS2012, Nottingham, August 2012.
K. Witek, W. Verweij, F. Jupe, J. Sliwka, G. Etherington, R. Leggett, D. MacLean, J.D.G. Jones, “R gene enrichment sequencing (RenSeq) – a quick method to detect polymorphisms co-segregating with functional resistance gene alleles in Solanum species”, Gordon Research Conference for Plant Molecular Biology, Holderness, NH, USA, July 2012.
M. Clark, R.M. Leggett, D. Heavens, D. Vasoya, N. Drou, M. Caccamo, “The long and the short of it: de novo assembly of extreme GC content microbial genomes”, The Biology of Genomes, Cold Spring Harbor, May 2012.
R. Ramirez-Gonzalez, R. Leggett, M. Caccamo, “Efficient short-read assemblies with paired-end k-mers”, Genome Informatics, Cold Spring Harbor, November 2011.