基因组
人类基因组
DNA测序
基础(拓扑)
DNA
碱基对
计算生物学
生物
遗传学
基因
数学
数学分析
作者
Radoje Drmanac,Andrew B. Sparks,Matthew J. Callow,Aaron L. Halpern,Norman Burns,Bahram G. Kermani,P. Carnevali,Igor Nazarenko,Geoffrey B. Nilsen,George Yeung,Fredrik A. Dahl,Andres Fernandez,Bryan Staker,Krishna Prasad Pant,Jonathan Baccash,Adam Borcherding,Anushka Brownley,Ryan James Cedeno,Linsu Chen,Dan Chernikoff
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2009-11-06
卷期号:327 (5961): 78-81
被引量:1224
标识
DOI:10.1126/science.1181498
摘要
Toward $1000 Genomes The ability to generate human genome sequence data that is complete, accurate, and inexpensive is a necessary prerequisite to perform genome-wide disease association studies. Drmanac et al. (p. 78 , published online 5 November) present a technique advancing toward this goal. The method uses Type IIS endonucleases to incorporate short oligonucleotides within a set of randomly sheared circularized DNA. DNA polymerase then generates concatenated copies of the circular oligonucleotides leading to formation of compact but very long oligonucleotides which are then sequenced by ligation. The relatively low cost of this technology, which shows a low error rate, advances sequencing closer to the goal of the $1000 genome.
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