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Overview of caGrid Workflow Infrastructure

This presentation provides an overview of the caGrid workflow infrastructure, showcasing how it orchestrates complex biomedical workflows. We discuss the background and significance of caGrid, followed by two detailed demonstration scenarios involving the integration of microarray data and hierarchical clustering. The first scenario utilizes caArray and Bioconductor for data normalization and visualization, while the second scenario demonstrates the use of GenePattern for advanced statistical analysis. Join us for an engaging discussion on the capabilities and future directions of caGrid workflows.

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Overview of caGrid Workflow Infrastructure

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  1. Overview of caGrid Workflow Infrastructure Orchestrating Workflow Ravi Madduri1, Patrick McConnell2, Shannon Hastings3 1Argonne National Labs2Duke Comprehensive Cancer Center3Ohio State University

  2. Agenda • caGrid Background • Workflow background • Demo • Discussion

  3. caGrid BackgroundcaGrid overview

  4. Workflow DemonstrationScenario 1 caArray caBioconductor query CQL MAGE normalize mageToMicroarraySet mageToStatML MicroarraySet MicroarraySet MicroarrayTranslator mageToMicroarraySet MAGE mageToStatML StatML cluster StatML Cluster cdt gtr atr clusterToTree geWorkbench Cluster cluster ClusterTranslator TreeViewer GenePattern HierarchicalCluster HierarchicalCluster hClusterToTree

  5. Workflow DemonstrationScenario 2 caArray GenePattern query CQL MAGE normalize mageToMicroarraySet mageToStatML MicroarraySet StatML MicroarraySet MicroarrayTranslator mageToMicroarraySet StatML StatML cluster StatML Cluster cdt gtr atr clusterToTree geWorkbench Cluster cluster ClusterTranslator TreeViewer GenePattern HierarchicalCluster HierarchicalCluster hClusterToTree

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