Churchill: an ultra-fast, deterministic, highly scalable and balanced parallelization strategy for the discovery of human genetic variation in clinical and population-scale genomics.
Churchill: an ultra-fast, deterministic, highly scalable and balanced parallelization strategy for the discovery of human genetic variation in clinical and population-scale genomics.
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DOI：
10.1186/s13059-014-0577-x
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发表时间：
2015-01-20
期刊：
影响因子：
12.3
通讯作者：
White P
中科院分区：
文献类型：
--
作者：
Kelly BJ;Fitch JR;Hu Y;Corsmeier DJ;Zhong H;Wetzel AN;Nordquist RD;Newsom DL;White P
虽然基因组测序技术的进步使群体规模的基因组学成为可能，但目前分析这些数据的方法依赖于并行化策略，但这些策略的可扩展性有限、实施复杂且缺乏可重复性。 Churchill 是一种平衡的区域并行化策略，克服了这些挑战，完全自动化了从原始测序读取到变异发现所需的多个步骤。通过实施新颖的确定性并行化技术，Churchill 可以在不到两个小时的时间内对高深度的全基因组样本进行高效的计算分析。该方法具有高度可扩展性，可以使用云资源在一周内对 1000 个基因组原始序列数据集进行全面分析。 http://churchill.nchri.org/。本文的在线版本 (doi:10.1186/s13059-014-0577-x) 包含补充材料，可供授权用户使用。
While advances in genome sequencing technology make population-scale genomics a possibility, current approaches for analysis of these data rely upon parallelization strategies that have limited scalability, complex implementation and lack reproducibility. Churchill, a balanced regional parallelization strategy, overcomes these challenges, fully automating the multiple steps required to go from raw sequencing reads to variant discovery. Through implementation of novel deterministic parallelization techniques, Churchill allows computationally efficient analysis of a high-depth whole genome sample in less than two hours. The method is highly scalable, enabling full analysis of the 1000 Genomes raw sequence dataset in a week using cloud resources. http://churchill.nchri.org/. The online version of this article (doi:10.1186/s13059-014-0577-x) contains supplementary material, which is available to authorized users.
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来自1,092个人基因组的遗传变异的综合图。
影响因子：
64.8
作者：
通讯作者：
--
影响因子：
2
作者：
Lescai, Francesco;Marasco, Elena;Beales, Philip
通讯作者：
Beales, Philip
影响因子：
3
作者：
Reid JG;Carroll A;Veeraraghavan N;Dahdouli M;Sundquist A;English A;Bainbridge M;White S;Salerno W;Buhay C;Yu F;Muzny D;Daly R;Duyk G;Gibbs RA;Boerwinkle E
通讯作者：
Boerwinkle E
影响因子：
12.3
作者：
Brownstein CA;Beggs AH;Homer N;Merriman B;Yu TW;Flannery KC;DeChene ET;Towne MC;Savage SK;Price EN;Holm IA;Luquette LJ;Lyon E;Majzoub J;Neupert P;McCallie D Jr;Szolovits P;Willard HF;Mendelsohn NJ;Temme R;Finkel RS;Yum SW;Medne L;Sunyaev SR;Adzhubey I;Cassa CA;de Bakker PI;Duzkale H;Dworzyński P;Fairbrother W;Francioli L;Funke BH;Giovanni MA;Handsaker RE;Lage K;Lebo MS;Lek M;Leshchiner I;MacArthur DG;McLaughlin HM;Murray MF;Pers TH;Polak PP;Raychaudhuri S;Rehm HL;Soemedi R;Stitziel NO;Vestecka S;Supper J;Gugenmus C;Klocke B;Hahn A;Schubach M;Menzel M;Biskup S;Freisinger P;Deng M;Braun M;Perner S;Smith RJ;Andorf JL;Huang J;Ryckman K;Sheffield VC;Stone EM;Bair T;Black-Ziegelbein EA;Braun TA;Darbro B;DeLuca AP;Kolbe DL;Scheetz TE;Shearer AE;Sompallae R;Wang K;Bassuk AG;Edens E;Mathews K;Moore SA;Shchelochkov OA;Trapane P;Bossler A;Campbell CA;Heusel JW;Kwitek A;Maga T;Panzer K;Wassink T;Van Daele D;Azaiez H;Booth K;Meyer N;Segal MM;Williams MS;Tromp G;White P;Corsmeier D;Fitzgerald-Butt S;Herman G;Lamb-Thrush D;McBride KL;Newsom D;Pierson CR;Rakowsky AT;Maver A;Lovrečić L;Palandačić A;Peterlin B;Torkamani A;Wedell A;Huss M;Alexeyenko A;Lindvall JM;Magnusson M;Nilsson D;Stranneheim H;Taylan F;Gilissen C;Hoischen A;van Bon B;Yntema H;Nelen M;Zhang W;Sager J;Zhang L;Blair K;Kural D;Cariaso M;Lennon GG;Javed A;Agrawal S;Ng PC;Sandhu KS;Krishna S;Veeramachaneni V;Isakov O;Halperin E;Friedman E;Shomron N;Glusman G;Roach JC;Caballero J;Cox HC;Mauldin D;Ament SA;Rowen L;Richards DR;San Lucas FA;Gonzalez-Garay ML;Caskey CT;Bai Y;Huang Y;Fang F;Zhang Y;Wang Z;Barrera J;Garcia-Lobo JM;González-Lamuño D;Llorca J;Rodriguez MC;Varela I;Reese MG;De La Vega FM;Kiruluta E;Cargill M;Hart RK;Sorenson JM;Lyon GJ;Stevenson DA;Bray BE;Moore BM;Eilbeck K;Yandell M;Zhao H;Hou L;Chen X;Yan X;Chen M;Li C;Yang C;Gunel M;Li P;Kong Y;Alexander AC;Albertyn ZI;Boycott KM;Bulman DE;Gordon PM;Innes AM;Knoppers BM;Majewski J;Marshall CR;Parboosingh JS;Sawyer SL;Samuels ME;Schwartzentruber J;Kohane IS;Margulies DM
通讯作者：
Margulies DM
影响因子：
14.9
作者：
Forbes, Simon A.;Tang, Gurpreet;Futreal, P. Andrew
通讯作者：
Futreal, P. Andrew