[1]范炜玮,赵东升*.大数据处理平台Spark及其生物医学应用[J].中国中医药图书情报杂志,2015,39(2):1-5.[doi:10.3969/j.issn.2095-5707.2015.02.001]
 FAN Wei-wei,ZHAO Dong-sheng*.Big Data Processing Platform Spark and Its Biomedical Applications[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2015,39(2):1-5.[doi:10.3969/j.issn.2095-5707.2015.02.001]
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大数据处理平台Spark及其生物医学应用

参考文献/References:

[1] MW Davidson, DA Haim, JM Radin. Using Networks to Combine “Big Data” and Traditional Surveillance to Improve Influenza Predictions[J/OL].[2015-01-29].http://www.nature.com/srep/2015/150129/srep08154/full/srep08154.html.
[2] Miguel Helft.大数据能治愈癌症吗?[EB/OL].[2014-10-29]. http://www.fortunechina.com/business/c/2014-10/29/content_225089.htm.
[3] OBAMA ADMINISTRATION: Big Data Research and Development Initiative[EB/OL].[2012-03-30].http://www.whitehouse.gov/sites/default/files/microsites/ostp/big_data_press_release.pdf.
[4] RC Taylor. An overview of the Hadoop/MapReduce/HBase framework and its current applications in bioinformatics[J].BMC Bioinformatics,2010,11(Suppl 12):S1.
[5] MC Schatz. Cloudburst: Highly Sensitive Read Mapping with Mapreduce[J]. Bioinformatics,2009,25(11):1363-1369.
[6] S Leo, F Santoni, G Zanetti. Biodoop: Bioinformatics on hadoop[C]//Proceedings of the 38th International Conference on Parallel Processing Workshops (ICPPW 2009). Vienna, Austria:2009:415-422.
[7] A Matsunaga, M Tsugawa, J Fortes. CloudBLAST: Combining Mapreduce and Virtualization on Distributed Resources for Bioinformatics Applications[C]//IEEE 4th International Conference on eScience (eScience 2008). Indiana,USA:2008:222-229.
[8] H Lee, Y Yang, H Chae, et al. BioVLAB-MMIA: A cloud environment for microRNA and mRNA integrated analysis (MMIA) on Amazon EC2[J]. IEEE Transactions on NanoBioscience,2012,11(3):266-272.
[9] AP Heath, M Greenway, R Powell, et al. Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets[J]. J Am Med Inform Assoc,2014,21(6):969-975.
[10] J Zhang, DW Chen, JH Zhao, et al. RASS: A Portable Real-time Automatic Sleep Scoring System[C]// Proceedings of 2012 IEEE 33rd Conference on Real-Time Systems Symposium(RTSS). Washington D.C., USA:2012:105-114.
[11] Explorys Co.Ltd. Unlocking the Power of BIG DATA to Improve Healthcare for Everyone [EB/OL].[2015-01-20].https://www.explorys. com/docs/data-sheets/explorys-overview_factsheet.pdf.
[12] M Zaharia, M Chowdhury, M.J. Franklin, et al. Spark: Cluster Computing with Working Sets[C].//Proceedings of the 2nd USENIX Workshop on Hot Topics in Cloud Computing. Boston, USA,2010.
[13] M Zaharia, M Chowdhury, T Das, et al. Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing[C]//Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation. San Jose: USENIX Association,2012:2-2.
[14] M Chowdhury. Performance and Scalability of Broadcast in Spark[EB/OL].[2014-10-08].http://www.cs.berkeley.edu/~agearh/ cs267.sp10/files/mosharaf-spark-bc-report-spring10.pdf.
[15] S Agarwal, A Panda, B Mozafari, et al. Blink and It’s Done: Interactive Queries on Very Large Data[C]//Proceedings of 38th International Conference on Very Large Databases (VLDB 2012). Istanbul, Turkey,2012:1902-1905.
[16] L Haoyuan, G Ali, Z Matei, et al. Tachyon: Reliable, Memory Speed Storage for Cluster Computing Frameworks[C]// Proceedings of the ACM Symposium on Cloud Computing(SOCC ’14). Seattle, Washington, USA,2014:1-15.
[17] D Patterson. Spark meets Genomics: Helping Fight the Big C with the Big D [EB/OL].[2015-02-25].http://spark-summit.org/2014/talk/david-patterson.
[18] Z Matei, William J. Bolosky, C Kristal, et al. Faster and More Accurate Sequence Alignment with SNAP [EB/OL].[2015-02-25].http://arxiv.org/abs/1111.5572.
[19] M Massie, F Nothaft, C Hartl, et al. ADAM: Genomics Formats and Processing Patterns for Cloud Scale Computing[EB/OL].[2013-12-15].http://www.eecs.berkeley.edu/Pubs/TechRpts/2013/ EECS-2013-207.html.
[20] A Talwalkar,J Liptrap,J Newcomb, et al. SMASH: A Benchmarking Toolkit for Human Genome Variant Calling[J]. Bioinformatics,2014,30(19):2787-2795.

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备注/Memo

收稿日期:2015-02-27

基金项目:军队后勤科技“十二五”重点项目(BS211R008,BS212J009)
第一作者:范炜玮,博士研究生、工程师,研究方向为医学信息学。E-mail: vivianfan_81@139.com
*通讯作者:赵东升,研究员,研究方向为生物医学信息学。E-mail: dszhao@bmi.ac.cn

更新日期/Last Update:

2015-03-24