高通量测序序列比对研究综述  

Overview of Sequence Alignment for High-throughput Sequencing Data

作　　者：高静[1] 焦雅 张文广[2] 

机构地区：[1]内蒙古农业大学计算机与信息工程学院,中国内蒙古呼和浩特010018 [2]内蒙古农业大学动物科学学院,中国内蒙古呼和浩特010018

出　　处：《生命科学研究》2014年第5期458-464,共7页Life Science Research

基　　金：国家核高基项目(2010ZX01036-001-001);教育部"春晖计划"项目(Z2009-1-01062);内蒙古自然科学基金资助项目(2010BS0902);内蒙古自治区科技计划项目"云计算系统安全可靠性的测评技术研究及测试平台构建"

摘　　要：高通量测序技术的飞速发展,给生物信息学带来了新的机遇和挑战,第二代测序序列数量多、长度短使得原来的序列分析手段不再适用。近几年来,针对高通量测序的序列分析算法和软件日益增多,目前已有上百种,导致选择合适的软件成为一个难题。对第二代测序的测序类型、序列类型以及分析算法进行了总结和归纳,对现今常用的分析软件的序列的类型、长度以及软件应用算法、输入/输出格式、特点和功能等方面做了详细分析和比较并给出建议。分析了现今测序技术和序列分析存在的问题,预测了今后的发展方向。The rapid development of High-throughput sequencing technology brings new opportunities as well as challenges. Reads generated by the second-generation sequencing platform are too numerous and short to be analyzed using former method. In recent years, more than one hundred of algorithms and software for sequence alignment have been subsequently developed. It is hard to choose an appropriate tool for everyone＇s special sequence alignment. Suggestions are given after summarizing the sequence type, method, and length of popular high-throughput data, illustrate the publish time, the length of read, the input/output format of file, particularity and function of next-generation analysis tools. Problems of the existent sequencing technology and analysis tools are described and the further orientation of them is predicted.

关 键 词：高通量测序 序列比对 序列作图 序列比对工具 

分 类 号：Q-31[生物学]