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Nat Methods. 2012 Apr 27;9(5):459-62. doi: 10.1038/nmeth.1974.

The 1000 Genomes Project: data management and community access.

Collaborators (545)

Altshuler D, Durbin RM, Abecasis GR, Bentley DR, Chakravarti A, Clark AG, Collins FS, De La Vega FM, Donnelly P, Egholm M, Flicek P, Gabriel SB, Gibbs RA, Knoppers BM, Lander ES, Lehrach H, Mardis ER, McVean GA, Nickerson DA, Peltonen L, Schafer AJ, Sherry ST, Wang J, Wilson RK, Gibbs RA, Deiros D, Metzker M, Muzny D, Reid J, Wheeler D, Wang J, Li J, Jian M, Li G, Li R, Liang H, Tian G, Wang B, Wang J, Wang W, Yang H, Zhang X, Zheng H, Lander ES, Altshuler D, Ambrogio L, Bloom T, Cibulskis K, Fennell TJ, Gabriel SB, Jaffe DB, Shefler E, Sougnez CL, Bentley DR, Gormley N, Humphray S, Kingsbury Z, Kokko-Gonzales P, Stone J, McKernan KJ, Costa GL, Ichikawa JK, Lee CC, Sudbrak R, Lehrach H, Borodina TA, Dahl A, Davydov AN, Marquardt P, Mertes F, Nietfeld W, Rosenstiel P, Schreiber S, Soldatov AV, Timmermann B, Tolzmann M, Egholm M, Affourtit J, Ashworth D, Attiya S, Bachorski M, Buglione E, Burke A, Caprio A, Celone C, Clark S, Conners D, Desany B, Gu L, Guccione L, Kao K, Kebbel A, Knowlton J, Labrecque M, McDade L, Mealmaker C, Minderman M, Nawrocki A, Niazi F, Pareja K, Ramenani R, Riches D, Song W, Turcotte C, Wang S, Mardis ER, Wilson RK, Dooling D, Fulton L, Fulton R, Weinstock G, Durbin RM, Burton J, Carter DM, Churcher C, Coffey A, Cox A, Palotie A, Quail M, Skelly T, Stalker J, Swerdlow HP, Turner D, De Witte A, Giles S, Gibbs RA, Wheeler D, Bainbridge M, Challis D, Sabo A, Yu F, Yu J, Wang J, Fang X, Guo X, Li R, Li Y, Luo R, Tai S, Wu H, Zheng H, Zheng X, Zhou Y, Li G, Wang J, Yang H, Marth GT, Garrison EP, Huang W, Indap A, Kural D, Lee WP, Leong WF, Quinlan AR, Stewart C, Stromberg MP, Ward AN, Wu J, Lee C, Mills RE, Shi X, Daly MJ, DePristo MA, Altshuler D, Ball AD, Banks E, Bloom T, Browning BL, Cibulskis K, Fennell TJ, Garimella KV, Grossman SR, Handsaker RE, Hanna M, Hartl C, Jaffe DB, Kernytsky AM, Korn JM, Li H, Maguire JR, McCarroll SA, McKenna A, Nemesh JC, Philippakis AA, Poplin RE, Price A, Rivas MA, Sabeti PC, Schaffner SF, Shefler E, Shlyakhter IA, Cooper DN, Ball EV, Mort M, Phillips AD, Stenson PD, Sebat J, Makarov V, Ye K, Yoon SC, Bustamante CD, Clark AG, Boyko A, Degenhardt J, Gravel S, Gutenkunst RN, Kaganovich M, Keinan A, Lacroute P, Ma X, Reynolds A, Clarke L, Flicek P, Cunningham F, Herrero J, Keenen S, Kulesha E, Leinonen R, McLaren WM, Radhakrishnan R, Smith RE, Zalunin V, Zheng-Bradley X, Korbel JO, Stütz AM, Humphray S, Bauer M, Cheetham R, Cox T, Eberle M, James T, Kahn S, Murray L, Chakravarti A, Ye K, De La Vega FM, Fu Y, Hyland FC, Manning JM, McLaughlin SF, Peckham HE, Sakarya O, Sun YA, Tsung EF, Batzer MA, Konkel MK, Walker JA, Sudbrak R, Albrecht MW, Amstislavskiy VS, Herwig R, Parkhomchuk DV, Sherry ST, Agarwala R, Khouri HM, Morgulis AO, Paschall JE, Phan LD, Rotmistrovsky KE, Sanders RD, Shumway MF, Xiao C, McVean GA, Auton A, Iqbal Z, Lunter G, Marchini JL, Moutsianas L, Myers S, Tumian A, Desany B, Knight J, Winer R, Craig DW, Beckstrom-Sternberg SM, Christoforides A, Kurdoglu AA, Pearson JV, Sinari SA, Tembe WD, Haussler D, Hinrichs AS, Katzman SJ, Kern A, Kuhn RM, Przeworski M, Hernandez RD, Howie B, Kelley JL, Melton S, Abecasis GR, Li Y, Anderson P, Blackwell T, Chen W, Cookson WO, Ding J, Kang HM, Lathrop M, Liang L, Moffatt MF, Scheet P, Sidore C, Snyder M, Zhan X, Zöllner S, Awadalla P, Cartwright RA, Casals F, Idaghdour Y, Keebler J, Stone EA, Zilversmit M, Jorde L, Xing J, Eichler EE, Aksay G, Alkan C, Hajirasouliha I, Hormozdiari F, Kidd JM, Sahinalp S, Sudmant PH, Mardis ER, Chen K, Chinwalla A, Ding L, Koboldt DC, McLellan MD, Dooling D, Weinstock G, Wallis JW, Wendl MC, Zhang Q, Durbin RM, Albers CA, Ayub Q, Balasubramaniam S, Barrett JC, Carter DM, Chen Y, Conrad DF, Danecek P, Dermitzakis ET, Hu M, Huang N, Hurles ME, Jin H, Jostins L, Keane TM, Le SQ, Lindsay S, Long Q, MacArthur DG, Montgomery SB, Parts L, Stalker J, Tyler-Smith C, Walter K, Xue Y, Zhang Y, Gerstein MB, Snyder M, Abyzov A, Balasubramanian S, Bjornson R, Du J, Grubert F, Habegger L, Haraksingh R, Jee J, Khurana E, Lam HY, Leng J, Mu XJ, Urban AE, Zhang Z, Li Y, Luo R, Marth GT, Garrison EP, Kural D, Quinlan AR, Stewart C, Stromberg MP, Ward AN, Wu J, Lee C, Mills RE, Shi X, McCarroll SA, Banks E, DePristo MA, Handsaker RE, Hartl C, Korn JM, Li H, Nemesh JC, Sebat J, Makarov V, Ye K, Yoon SC, Degenhardt J, Kaganovich M, Clarke L, Smith RE, Zheng-Bradley X, Korbel JO, Humphray S, Cheetham R, Eberle M, Kahn S, Murray L, Ye K, De La Vega FM, Fu Y, Peckham HE, Sun YA, Batzer MA, Konkel MK, Walker JA, Xiao C, Iqbal Z, Desany B, Blackwell T, Snyder M, Xing J, Eichler EE, Aksay G, Hajirasouliha I, Hormozdiari F, Kidd JM, Chen K, Chinwalla A, Ding L, McLellan MD, Wallis JW, Hurles ME, Conrad DF, Walter K, Zhang Y, Gerstein MB, Snyder M, Abyzov A, Du J, Grubert F, Haraksingh R, Jee J, Khurana E, Lam HY, Leng J, Mu XJ, Urban AE, Zhang Z, Gibbs RA, Bainbridge M, Challis D, Coafra C, Dinh H, Kovar C, Lee S, Muzny D, Nazareth L, Reid J, Sabo A, Yu F, Yu J, Marth GT, Garrison EP, Indap A, Leong WF, Quinlan AR, Stewart C, Ward AN, Wu J, Cibulskis K, Fennell TJ, Gabriel SB, Garimella KV, Hartl C, Shefler E, Sougnez CL, Wilkinson J, Clark AG, Gravel S, Grubert F, Clarke L, Flicek P, Smith RE, Zheng-Bradley X, Sherry ST, Khouri HM, Paschall JE, Shumway MF, Xiao C, McVean GA, Katzman SJ, Abecasis GR, Blackwell T, Mardis ER, Dooling D, Fulton L, Fulton R, Koboldt DC, Durbin RM, Balasubramaniam S, Coffey A, Keane TM, MacArthur DG, Palotie A, Scott C, Stalker J, Tyler-Smith C, Gerstein MB, Balasubramanian S, Chakravarti A, Knoppers BM, Peltonen L, Abecasis GR, Bustamante CD, Gharani N, Gibbs RA, Jorde L, Kaye JS, Kent A, Li T, McGuire AL, McVean GA, Ossorio PN, Rotimi CN, Su Y, Toji LH, Tyler-Smith C, Brooks LD, Felsenfeld AL, McEwen JE, Abdallah A, Juenger CR, Clemm NC, Collins FS, Duncanson A, Green ED, Guyer MS, Peterson JL, Schafer AJ.

Author information

  • 1European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.

Abstract

The 1000 Genomes Project was launched as one of the largest distributed data collection and analysis projects ever undertaken in biology. In addition to the primary scientific goals of creating both a deep catalog of human genetic variation and extensive methods to accurately discover and characterize variation using new sequencing technologies, the project makes all of its data publicly available. Members of the project data coordination center have developed and deployed several tools to enable widespread data access.

PMID:
22543379
[PubMed - indexed for MEDLINE]
PMCID:
PMC3340611
Free PMC Article

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