Boosting analyses in the life sciences via clusters, grids and clouds

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• 作者：Sandra Gesing^a ; ^{sandra.gesing@nd.edu" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Jesus Carretero^b ; ^{jesus.carretero@uc3m.es" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Javier Garcia Blas^b ; ^{fjblas@inf.uc3m.es" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Johan Montagnat^c ; ^{johan.montagnat@cnrs.fr" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：Bioinformatics ; Biomedicine ; And health ; Genomics ; Life Sciences ; Cloud computing ; Workflows
• 刊名：Future Generation Computer Systems
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：67
• 期：Complete
• 页码：325-328
• 全文大小：355 K

文摘

In the last 20 years, computational methods have become an important part of developing emerging technologies for the field of bioinformatics and biomedicine. Those methods rely heavily on large scale computational resources as they need to manage Tbytes or Pbytes of data with large-scale structural and functional relationships, TFlops or PFlops of computing power for simulating highly complex models, or many-task processes and workflows for processing and analyzing data. This special issue contains papers showing existing solutions and latest developments in Life Sciences and Computing Sciences to collaboratively explore new ideas and approaches to successfully apply distributed IT-systems in translational research, clinical intervention, and decision-making.