D
David T. Jones
Researcher at University College London
Publications - 497
Citations - 84400
David T. Jones is an academic researcher from University College London. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 102, co-authored 306 publications receiving 74163 citations. Previous affiliations of David T. Jones include German Cancer Research Center & Wellcome Trust Sanger Institute.
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Journal ArticleDOI
Signatures of mutational processes in human cancer
Ludmil B. Alexandrov,Serena Nik-Zainal,Serena Nik-Zainal,David C. Wedge,Samuel Aparicio,Sam Behjati,Sam Behjati,Andrew V. Biankin,Graham R. Bignell,Niccolo Bolli,Niccolo Bolli,Åke Borg,Anne Lise Børresen-Dale,Anne Lise Børresen-Dale,Sandrine Boyault,Birgit Burkhardt,Adam Butler,Carlos Caldas,Helen Davies,Christine Desmedt,Roland Eils,Jorunn E. Eyfjord,John A. Foekens,Mel Greaves,Fumie Hosoda,Barbara Hutter,Tomislav Ilicic,Sandrine Imbeaud,Sandrine Imbeaud,Marcin Imielinsk,Natalie Jäger,David T. W. Jones,David T. Jones,Stian Knappskog,Stian Knappskog,Marcel Kool,Sunil R. Lakhani,Carlos López-Otín,Sancha Martin,Nikhil C. Munshi,Nikhil C. Munshi,Hiromi Nakamura,Paul A. Northcott,Marina Pajic,Elli Papaemmanuil,Angelo Paradiso,John V. Pearson,Xose S. Puente,Keiran Raine,Manasa Ramakrishna,Andrea L. Richardson,Andrea L. Richardson,Julia Richter,Philip Rosenstiel,Matthias Schlesner,Ton N. Schumacher,Paul N. Span,Jon W. Teague,Yasushi Totoki,Andrew Tutt,Rafael Valdés-Mas,Marit M. van Buuren,Laura van ’t Veer,Anne Vincent-Salomon,Nicola Waddell,Lucy R. Yates,Icgc PedBrain,Jessica Zucman-Rossi,Jessica Zucman-Rossi,P. Andrew Futreal,Ultan McDermott,Peter Lichter,Matthew Meyerson,Matthew Meyerson,Sean M. Grimmond,Reiner Siebert,Elias Campo,Tatsuhiro Shibata,Stefan M. Pfister,Stefan M. Pfister,Peter J. Campbell,Peter J. Campbell,Peter J. Campbell,Michael R. Stratton,Michael R. Stratton +84 more
TL;DR: It is shown that hypermutation localized to small genomic regions, ‘kataegis’, is found in many cancer types, and this results reveal the diversity of mutational processes underlying the development of cancer.
Journal ArticleDOI
Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.
Marco Gerlinger,Andrew Rowan,Stuart Horswell,James Larkin,David Endesfelder,Eva Grönroos,Pierre Martinez,Nicholas Matthews,Aengus Stewart,Patrick S. Tarpey,Ignacio Varela,Benjamin Phillimore,Sharmin Begum,Neil Q. McDonald,Adam Butler,David T. Jones,Keiran Raine,Calli Latimer,Claudio R. Santos,Mahrokh Nohadani,Aron Charles Eklund,Bradley Spencer-Dene,Graham Clark,Lisa Pickering,Gordon Stamp,Martin Gore,Zoltan Szallasi,Zoltan Szallasi,Julian Downward,P. Andrew Futreal,Charles Swanton +30 more
TL;DR: Intratumor heterogeneity can lead to underestimation of the tumor genomics landscape portrayed from single tumor-biopsy samples and may present major challenges to personalized-medicine and biomarker development.
Journal ArticleDOI
The rapid generation of mutation data matrices from protein sequences
TL;DR: An efficient means for generating mutation data matrices from large numbers of protein sequences is presented, by means of an approximate peptide-based sequence comparison algorithm, which is fast enough to process the entire SWISS-PROT databank in 20 h on a Sun SPARCstation 1, and is fastenough to generate a matrix from a specific family or class of proteins in minutes.
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Protein secondary structure prediction based on position-specific scoring matrices
TL;DR: A two-stage neural network has been used to predict protein secondary structure based on the position specific scoring matrices generated by PSI-BLAST and achieved an average Q3 score of between 76.5% to 78.3% depending on the precise definition of observed secondary structure used, which is the highest published score for any method to date.
Journal ArticleDOI
The PSIPRED protein structure prediction server.
TL;DR: The PSIPRED protein structure prediction server allows users to submit a protein sequence, perform a prediction of their choice and receive the results of the prediction both textually via e-mail and graphically via the web.