期刊文献+

荣之联的生物云野心 被引量:1

原文传递
导出
摘要 对中国的云计算创业者而言,行业云应该是一条行得通、走得顺的路。“华大基因的生物云(BGICLOUD)目前处于什么阶段?”
作者 沙磊
出处 《IT经理世界》 2011年第2期59-60,共2页
  • 相关文献

同被引文献14

  • 1Barroso LA Dean J, HSzle U. Web search for a planet: The Google cluster architecture[J]. IEEE Micro, 2003, 23: 22-28.
  • 2Shen C P, Chen W H, Chen J M, et al. Bio-signal analysis system design with support vector machines based on cloud computing service architecture[J]. Conf Proc IEEE Eng Med Biol Soc, 2010, 2010: 1421-1424.
  • 3Langmead B, Hansen K D, Leek J T. Cloud-scale RNA-sequencing differential expression analysis with Myrna[J]. Genome Biol, 2010, 11: R83.
  • 4Langmead B, Schatz M C, Lin J, et al. Searching for SNPs with cloud computing[J]. Genome Biol, 2009, 10:R134.
  • 5Stein L D. The case for cloud computing in genome informatics[J]. Genome Biol, 2010, 11: 207.
  • 6Wagener J, Spjuth O, Willighagen E L, et al. XMPP for cloud computing in bioinformatics sup- porting discovery and invocation of asynchronous web services[J]. BMC Bioinformatics, 2009, 10: 279.
  • 7Lapins M, Eklund M, Spjuth O, et al. Proteochemometric modeling of HIV protease susceptibil- ity[J]. BMC Bioinformatics, 2008, 9: 181.
  • 8Steinbeck C, Hoppe C, Kuhn S, et al. Recent developments of the chemistry development kit (CDK) - an open-source java library for chemo- and bioinformatics[J]. Curr Pharm Des, 2006, 12: 2111-2120.
  • 9Matsunaga A Tsugawa M, Fortes J. CloudBLAST: Combining mapreduce and virtualization on distributed resources for bioinaformatics applications[J]. IEEE Fourth International Conference on eSciene, 2008: 222-229.
  • 10Schatz M C. CloudBurst: highly sensitive read mapping with MapReduce[J]. Bioinformatics, 2009, 25: 1363-1369.

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部