Enabling large-scale biomedical analysis in the cloud.

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 t...

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Publicado en:BioMed Research International Vol. 2013; pp. 185679 - 185680
Autores principales: Lin, Ying-Chih, Yu, Chin-Sheng, Lin, Yen-Jen
Formato: review tables/charts Journal Article
Publicado: Wiley-Blackwell 2013
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Enabling large-scale biomedical analysis in the cloud.
      aug:
        au:
          Lin, Ying-Chih
          Yu, Chin-Sheng
          Lin, Yen-Jen
        affil: Master's Program in Biomedical Informatics and Biomedical Engineering, Feng Chia University, No. 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan ; Department of Applied Mathematics, Feng Chia University, No. 100 Wenhwa Road, Seatwen, Taichung 40724, Taiwan.
      sug:
        subj:
          Research, Medical
          Bioinformatics
          Genomics
          Software
      ab: 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.
      pubtype: Academic Journal
      doctype:
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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