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Richard Mott is a mathematician and statistician at the Wellcome Trust Centre for Human Genetics. He is a Professor by Research at Oxford University. He has worked on physical mapping with Hans Lehrach at Imperial Cancer Research Fund laboratories in London, where he developed a suite of software tools for the construction and validation of physical maps 〔(Mott et al Nucleic Acids Res. 1993;21:1965-74 )〕 In 1995 he moved to the Sanger Centre to work on DNA sequence assembly where he wrote software that automatically analysed sequencing trace data in order to edit DNA sequence assemblies. This was used extensively to accelerate sequence production. He wrote the sequence CAFtools assembly pipeline 〔( Dear et al Genome Res. 1998, 8:260-7 )〕 which was used for the pipeline assembly of the human and other genomes at Sanger, and developed software for spliced alignment of EST to genomic DNA.〔Mott Comput Appl Biosci. 1997, 13: 77-8, “()”〕 Since 1999 he has worked at the Wellcome Trust Centre for Human Genetics〔http://www.well.ox.ac.uk〕 where he served as Head of Bioinformatics and Statistical Genetics. In 2010 he stepped down to concentrate on his own research. He currently leads a group working on quantitative genetics in plants and mice. He has developed methods for mapping in an outbred stock of mice (the heterogeneous stock).〔http://gscan.well.ox.ac.uk/〕 He developed the HAPPY software package 〔( Mott et al Proc Natl Acad Sci U S A. 2000;97:12649-54 )〕 used for high-resolution QTL mapping which led to the identification of a quantitative trait gene underlying behavioral variation in mice.〔(Yalcin at al Nat Genet. 2004, 36:1197-202 )〕 As part of an international collaboration he is developing a genetic reference panel of recombinant inbred lines of mice, known as the Collaborative Cross. With Dr Paula Kover, Bath University, he has developed a genetic reference panel in Arabidopsis thaliana 〔( Kover et al PLoS Genet. 2009 Jul;5(7):e1000551 )〕 ==References== 〔 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Richard Mott (statistician)」の詳細全文を読む スポンサード リンク
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