期刊论文详细信息
BMC Bioinformatics
CloudMan as a platform for tool, data, and analysis distribution
Enis Afgan2  Brad Chapman1  James Taylor2 
[1] Bioinformatics Core, Harvard School of Public Health, Boston, MA, USA
[2] Department of Mathematics & Computer Science, Emory University, Atlanta, GA, USA
关键词: Galaxy;    Accessibility;    Reproducibility;    Service customization;    Cloud computing;   
Others  :  1088055
DOI  :  10.1186/1471-2105-13-315
 received in 2012-02-14, accepted in 2012-11-15,  发布年份 2012
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【 摘 要 】

Background

Cloud computing provides an infrastructure that facilitates large scale computational analysis in a scalable, democratized fashion, However, in this context it is difficult to ensure sharing of an analysis environment and associated data in a scalable and precisely reproducible way.

Results

CloudMan (usecloudman.org) enables individual researchers to easily deploy, customize, and share their entire cloud analysis environment, including data, tools, and configurations.

Conclusions

With the enabled customization and sharing of instances, CloudMan can be used as a platform for collaboration. The presented solution improves accessibility of cloud resources, tools, and data to the level of an individual researcher and contributes toward reproducibility and transparency of research solutions.

【 授权许可】

   
2012 Afgan et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Afgan E, Baker D, Coraor N, Chapman B, Nekrutenko A, Taylor J: Galaxy CloudMan: delivering cloud compute clusters. BMC Bioinformatics 2010, 11(12):S4. BioMed Central Full Text
  • [2]Afgan E, Baker D, Coraor N, Goto H, Makova K, Nekrutenko A, Taylor J: Harnessing cloud-computing for biomedical research with Galaxy Cloud. Nat Biotechnol 2011, 29(11):972-974.
  • [3]Cloud Biolinux. http://www.cloudbiolinux.com/ webcite
  • [4]Goecks J, Nekrutenko A, Taylor J: Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences. Genome Biol 2010, 11(8):R86. BioMed Central Full Text
  • [5]Afgan E, Goecks J, Baker D, Coraor N, Nekrutenko A, Taylor J: Galaxy - a gateway to tools in e-science. In Guide to e-science: next generation scientific research and discovery. Edited by Yang K. London: Springer; 2011:145-177.
  • [6]Big data rains down on seattle. http://www.hpcwire.com/hpcwire/2011-10-20/big_data_rains_down_on_seattle.html webcite
  • [7]Langmead B, Schatz MC, Lin J, Pop M, Salzberg SL: Searching for SNPs with cloud computing. Genome Biol 2009, 10(11):R134. BioMed Central Full Text
  • [8]Schatz MC, Langmead B, Salzberg SL: Cloud computing and the DNA data race. Nat Biotechnol 2010, 28(7):691-693.
  • [9]Schatz MC: CloudBurst: highly sensitive read mapping with MapReduce. Bioinformatics 2009, 25(11):1363-1369.
  • [10]Afgan E, Baker D, Nekrutenko A, Taylor J: A reference model for deploying applications in virtualized environments. Concurrency and Computation: Practice and Experience 2012, 24(12):1349-1361. in press
  • [11]Picard. http://picard.sourceforge.net/ webcite
  • [12]FastQC. http://www.bioinformatics.babraham.ac.uk/projects/fastqc/ webcite
  • [13]DePristo M, Banks E, Poplin R, Garimella K, Maguire J, Hartl C, Philippakis A, del Angel G, Rivas MA, Hanna M, et al.: A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet 2011, 43(5)):491-498.
  • [14]SnpEff: variant effect prediction. http://snpeff.sourceforge.net/ webcite
  • [15]bcbio_nextgen. https://github.com/chapmanb/bcbb/tree/master/nextgen webcite
  • [16]CloudMan wiki. https://bitbucket.org/galaxy/cloudman/wiki/SharedInstances webcite
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