Year: 2014
Type: conference-paper
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.
Source: Procedia Computer Science
Language: English
Subfield: Information Systems and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
Awards: Molecular mechanisms of hypoxia tolerance and susceptibility, G2112935040, iDASH: Integrating Data for Analysis, Anonymization, and Sharing, San Diego Clinical and Translational Research Institute, NATIONAL BIOMEDICAL COMPUTATION RESOURCE, Multi-scale Systems Model of Murine Heart Failure, G9000075628
OpenAlex ID: W2021499452