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. 2014:29:2162-2167.
doi: 10.1016/j.procs.2014.05.201.

Using Kepler for Tool Integration in Microarray Analysis Workflows

Zhuohui Gan  1 , Jennifer C Stowe  1 , Ilkay Altintas  2 , Andrew D McCulloch  1 , Alexander C Zambon  3
Affiliations

Using Kepler for Tool Integration in Microarray Analysis Workflows

Zhuohui Gan et al. Procedia Comput Sci. 2014.

Abstract

Increasing numbers of genomic technologies are leading to massive amounts of genomic data, all of which requires complex analysis. More and more bioinformatics analysis tools are being developed by scientist to simplify these analyses. However, different pipelines have been developed using different software environments. This makes integrations of these diverse bioinformatics tools difficult. Kepler provides an open source environment to integrate these disparate packages. Using Kepler, we integrated several external tools including Bioconductor packages, AltAnalyze, a python-based open source tool, and R-based comparison tool to build an automated workflow to meta-analyze both online and local microarray data. The automated workflow connects the integrated tools seamlessly, delivers data flow between the tools smoothly, and hence improves efficiency and accuracy of complex data analyses. Our workflow exemplifies the usage of Kepler as a scientific workflow platform for bioinformatics pipelines.

Keywords: AltAnalyze; Integration; Kepler; Microarray; Workflow.

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Figures

Figure 1
Figure 1
A conceptual view of microarray analysis workflow
Figure 2
Figure 2
An Extension of the developed Kepler Workflow
Figure 3
Figure 3
The workflow implementation in Kepler for meta-analyses of Affymetrix data
See this image and copyright information in PMC

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