Enabling Large-Scale Biomedical Analysis in the Cloud

被引:6
|
作者
Lin, Ying-Chih [1 ,2 ]
Yu, Chin-Sheng [1 ,3 ]
Lin, Yen-Jen [4 ]
机构
[1] Feng Chia Univ, Masters Program Biomed Informat & Biomed Engn, Taichung 40724, Taiwan
[2] Feng Chia Univ, Dept Appl Math, Taichung 40724, Taiwan
[3] Feng Chia Univ, Dept Informat Engn & Comp Sci, Taichung 40724, Taiwan
[4] Natl Tsing Hua Univ, Dept Comp Sci, Hsinchu 30013, Taiwan
关键词
MAPREDUCE; FRAMEWORK;
D O I
10.1155/2013/185679
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Recent progress in high-throughput instrumentations has led to an astonishing growth in both volume and complexity of biomedical data collected from various sources. The planet-size data brings serious challenges to the storage and computing technologies. Cloud computing is an alternative to crack the nut because it gives concurrent consideration to enable storage and high-performance computing on large-scale data. This work briefly introduces the data intensive computing system and summarizes existing cloud-based resources in bioinformatics. These developments and applications would facilitate biomedical research to make the vast amount of diversification data meaningful and usable.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Robust Large-Scale Machine Learning in the Cloud
    Rendle, Steffen
    Fetterly, Dennis
    Shekita, Eugene J.
    Su, Bor-yiing
    KDD'16: PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2016, : 1125 - 1134
  • [42] Evaluation of a large-scale biomedical data annotation initiative
    Lacson, Ronilda
    Pitzer, Erik
    Hinske, Christian
    Galante, Pedro
    Ohno-Machado, Lucila
    BMC BIOINFORMATICS, 2009, 10
  • [43] Evaluation of a large-scale biomedical data annotation initiative
    Ronilda Lacson
    Erik Pitzer
    Christian Hinske
    Pedro Galante
    Lucila Ohno-Machado
    BMC Bioinformatics, 10
  • [44] Large-Scale Reasoning over Functions in Biomedical Ontologies
    Hoehndorf, Robert
    Mencel, Liam
    Gkoutos, Georgios V.
    Schofield, Paul N.
    FORMAL ONTOLOGY IN INFORMATION SYSTEMS, 2016, 283 : 299 - 312
  • [45] BioRel: towards large-scale biomedical relation extraction
    Xing, Rui
    Luo, Jie
    Song, Tengwei
    BMC BIOINFORMATICS, 2020, 21 (Suppl 16)
  • [46] BioRel: towards large-scale biomedical relation extraction
    Rui Xing
    Jie Luo
    Tengwei Song
    BMC Bioinformatics, 21
  • [47] BioRel: A Large-Scale Dataset for Biomedical Relation Extraction
    Xing, Rui
    Luo, Jie
    Song, Tengwei
    2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2019, : 1801 - 1808
  • [48] Interactive Histology of Large-Scale Biomedical Image Stacks
    Jeong, Won-Ki
    Schneider, Jens
    Turney, Stephen G.
    Faulkner-Jones, Beverly E.
    Meyer, Dominik
    Westermann, Ruediger
    Reid, R. Clay
    Lichtman, Jeff
    Pfister, Hanspeter
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2010, 16 (06) : 1386 - 1395
  • [49] BLINKER: Automated Extraction of Ocular Indices from EEG Enabling Large-Scale Analysis
    Kleifges, Kelly
    Bigdely-Shamlo, Nima
    Kerick, Scott E.
    Robbins, Kay A.
    FRONTIERS IN NEUROSCIENCE, 2017, 11
  • [50] Real-time Workload Pattern Analysis for Large-scale Cloud Databases
    Wang, Jiaqi
    Li, Tianyi
    Wang, Anni
    Liu, Xiaoze
    Chen, Lu
    Chen, Jie
    Liu, Jianye
    Wu, Junyang
    Li, Feifei
    Gao, Yunjun
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2023, 16 (12): : 3689 - 3701