作者: Patel, Ashok ; Andrews, Kristian A. ; Gong, Haiping ; Jarman, Darren ; Boyd, Robert S. ; Sweetman, Gavin M. A. ; Woolliscroft, Richard J. ; Middleton, Alice ; Longmore, Andrew ; Rohlff, Christian ; Stevenson, David ; Robinson, Andrew W. ; Weresch, Celia ; Myatt, C. Paul ; Amess, Bob ; Shipston, Nigel ; Siddiq, Shaistah ; Brown, Alice ; Herath, Athula ; Heesom, Kate J. ; Hudsen, Lindsey J. ; Taylor, Stephen ; Moore, Stephen ; Ventom, Andrew M. ; Stamps, Alasdair ; Yu, Xiaohong ; Gormley, Darren ; Terrett, Jonathan ; Jacobs, Merrill ; Platt, Albert E. ; Giles, David M. ; Aldridge, Louise ; Allen, Jason C. ; Reeves, Mike ; Hollis, Katherine ; Adam, Paul J. ; Lane, Kim E. ; Schenker, Martin ; Patel, Kaajal B. ; Kinuthia, Samuel K. ; Barnes, Martin ; Bird, Helen ; McEwan, Michael ; Berry, Joanne ; Loader, Julie ; Patel, Sonal ; Prime, Sally ; Rosenbaum, Jeffrey M. ; Spencer, Daniel I. R. ; O'Neil, Andrew ; Kibria, Imran ; Draper, Nicholas J. ; Ng, Stanley S. ; Steffens, Marc A. ; Murray, Helen M. ; Parekh, Raj B. ; Philp, Robin J. ; Inman, Janet ; Poyser, Helen ; Brown, Clive G. ; Patel, Thakor P. ; Southan, Christopher ; Lees, Margaret L. ; Broughton, Marissa J. ; Kilgour, John J. ; McGowan, Simon J. ; Townsend, Reid ; Lyall, Andrew ; Prendergast, Cynthia ; Elsmore, Beverley M. ; Waller, Martin N. H. ; Hawkes, Tim D. R. ; Haynes, Paul S. ; Scrivener, Elaine ; Murray, Carol ; Barnwell, David E. ; Redpath, Nicholas ; Bruce, Jim A. ; Williams, Amanda M. ; Brusten, Luc M. J. ; Griffiths, Matthew R. ; Freeman, Colin D.
The identification of protein-coding genes is currently based on the merging of evidence and predictions from a variety of databases that may themselves contain inaccurate and partial information.A method was developed for mapping accurate interpretations of protein MS-MS data to the genome.This approach enables verification of genes, exons, transcripts, and variant transcripts, as well as the de novo discovery of novel protein-coding genes.Improvements in spectral interpretation algorithms, multiple separation techniques, subcellular fractionation, and novel bioinformatics approaches are described to characterize >14,000 naturally occurring human genes.