New Generations: Sequencing Machines and Their Computational Challenges

被引:11
|
作者
Schwartz, David C. [1 ,2 ]
Waterman, Michael S. [3 ,4 ]
机构
[1] Univ Wisconsin, Dept Chem, Lab Mol & Computat Genom, Madison, WI 53706 USA
[2] Univ Wisconsin, Genet Lab, Madison, WI 53706 USA
[3] Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA
[4] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
基金
美国国家科学基金会;
关键词
genome sequencing; new generation sequencing; read mapping; optical mapping; sequence assembly; Eulerian graphs; ORDERED RESTRICTION MAPS; SINGLE DNA-MOLECULES; COMPUTER-PROGRAMS; GENOME ASSEMBLIES; IDENTIFICATION; PYROPHOSPHATE; ALGORITHMS; SYSTEM; READS;
D O I
10.1007/s11390-010-9300-x
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
New generation sequencing systems are changing how molecular biology is practiced. The widely promoted $1000 genome will be a reality with attendant changes for healthcare, including personalized medicine. More broadly the genomes of many new organisms with large samplings from populations will be commonplace. What is less appreciated is the explosive demands on computation, both for CPU cycles and storage as well as the need for new computational methods. In this article we will survey some of these developments and demands.
引用
收藏
页码:3 / 9
页数:7
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