高通量dna测序数据的生物信息学方法-信息通信学术期刊网.pdfVIP

76 BIG DATA RESEARCH 大数据 高通量DNA测序数据的 生物信息学方法 1 2 3 詹晓娟 ，姚登举 ，朱怀球 1. 黑龙江工程学院计算机科学与技术学院，黑龙江 哈尔滨 150050； 2. 哈尔滨理工大学软件学院，黑龙江 哈尔滨 150040；3. 北京大学生物医学工程系，北京 100871 摘要 高通量测序技术产生的DNA序列数据长度较短，而且数据量非常巨大。分析了高通量测序环境下大数据的 挑战和机遇，总结并讨论了数据压缩、宏基因组数据序列拼接、宏基因组数据序列分析方面的算法和工具 等研究成果。最后，展望了高通量测序下DNA短读序列数据研究的发展趋势。 关键词 高通量DNA测序；生物信息学；短读序列数据压缩；短读序列数据拼接；短读序列数据分析 中图分类号：TP399 文献标识码：A doi: 10.11959/j.issn.2096-0271.2016021 Bioinformatics methods for high-throughput DNA sequencing data 1 2 3 ZHAN Xiaojuan , YAO Dengju , ZHU Huaiqiu 1. College of Computer Science and Technology, Heilongjiang Institute of Technology, Harbin 150050, China 2. School of Software, Harbin University of Science and Technology, Harbin 150040, China 3. Department of Biomedical Engineering, Peking University, Beijing 100871, China Abstract DNA sequence data generated by high-throughput sequencing technology is short in length, and the amount of data is enormous. The challenges and opportunities of the big data in high-throughput sequencing environment were analyzed. The data compression, the assembly of metagenomic sequence data, and algorithms and tools of metagenomic sequence data analysis also were summarized and discussed. Finally, the future of the study on short read DNA sequence data in high-throughput sequencing environment was discussed. Key words high-throughput DNA sequencing, bioinformatics, short read sequence data compression, short read sequence dat