Critical role of bioinformatics in translating huge amounts of next-generation sequencing data into personalized medicine
作者: HuiXiao HongWenQian ZhangJie ShenZhenQiang SuBaiTang NingTao HanRoger PerkinsLeMing ShiWeiDa Tong
作者单位: 1Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, US Food and Drug Administration
2Beijing Genomic Institute, Beishan Industrial Zone
3Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration
刊名: Science China Life Sciences, 2013, Vol.56 (2), pp.110-118
来源数据库: Springer Nature Journal
DOI: 10.1007/s11427-013-4439-7
关键词: personalized medicinenext-generation sequencingbioinformaticsshort readsalignmentassembledata analysis
英文摘要: Abstract(#br)Realizing personalized medicine requires integrating diverse data types with bioinformatics. The most vital data are genomic information for individuals that are from advanced next-generation sequencing (NGS) technologies at present. The technologies continue to advance in terms of both decreasing cost and sequencing speed with concomitant increase in the amount and complexity of the data. The prodigious data together with the requisite computational pipelines for data analysis and interpretation are stressors to IT infrastructure and the scientists conducting the work alike. Bioinformatics is increasingly becoming the rate-limiting step with numerous challenges to be overcome for translating NGS data for personalized medicine. We review some key bioinformatics tasks, issues,...
全文获取路径: Springer Nature  (合作)
影响因子:2.024 (2011)

  • bioinformatics 生物信息学
  • sequencing 排序
  • generation 世代
  • translating 变换
  • medicine