Laver, Tom - University of Exeter

个人简介

Tom Laver is a bioinformatician specialising in analysis of DNA sequencing data. He received a BSc in Biology from the University of Bath in 2010. He then completed a bioinformatics PhD at the University of Exeter. This project involved the evaluation of factors affecting measurements of mixed microbial communities by next generation sequencing methods, including 16S amplicon and whole genome sequencing. Tom joined the monogenic diabetes group at the University of Exeter Medical School in 2015 and in his current project is using next-generation sequencing analysis to identify novel genetic aetiologies for hyperinsulinism. Qualifications 2015 PhD (Biosciences, Exeter) 2010 BSc (Biology, Bath)

研究领域

Tom Laver is an author of several papers discussing issues of metrology in metagenomics. He has worked on multiple projects utilising data from the third generation long read sequencing technologies from Pacific Biosciences and Oxford Nanopore and is an author of a paper judging the initial merits of the long read sequencer, the Oxford Nanopore MinIon. His work is currently focused on using analysis of DNA sequencing data to discover novel genes for hyperinsulinism.

近期论文

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Laver TW, Caswell RC, Moore KA, Poschmann J, Johnson MB, Owens MM, Ellard S, Paszkiewicz KH, Weedon MN (2016). Pitfalls of haplotype phasing from amplicon-based long-read sequencing. Sci Rep, 6 Abstract. Author URL. Article has an altmetric score of 4 Patel KA, Laver T, Johnson M, Sanders T, Shepherd M, Ellard S, Flanagan S, Hattersley AT, Weedon MN (2016). RFX6 is a new MODY gene. DIABETIC MEDICINE, 33, 33-33. Author URL. Laver T, Harrison J, O'Neill PA, Moore K, Farbos A, Paszkiewicz K, Studholme DJ (2015). Assessing the performance of the Oxford Nanopore Technologies MinION. Biomolecular Detection and Quantification, 3, 1-8. Abstract. Full text. Article has an altmetric score of 35 O'Sullivan DM, Laver T, Temisak S, Redshaw N, Harris KA, Foy CA, Studholme DJ, Huggett JF (2014). Assessing the accuracy of quantitative molecular microbial profiling. Int J Mol Sci, 15(11), 21476-21491. Abstract. Author URL. Huggett JF, Laver T, Tamisak S, Nixon G, O'Sullivan DM, Elaswarapu R, Studholme DJ, Foy CA (2013). Considerations for the development and application of control materials to improve metagenomic microbial community profiling. Accreditation and Quality Assurance, 18(2), 77-83. Abstract. Huggett JF, Studholme DJ, Laver T, Foy CA (2013). Progress in metagenomics requires a balanced appraisal of the available technologies. Eur J Clin Microbiol Infect Dis, 32(8), 1097-1098. Author URL.