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Function Express: Integrated Data Analysis Platform

Function Express is an advanced bioinformatics core laboratory software with an architecture supporting MGA, MAC, and LocalDB functionalities. This tool assists in gene annotations, gene network analysis, promoter analysis, and more. With features like SAM, PCA, SVM analysis, and comparative marker selection, Function Express offers a comprehensive solution for exploring and interpreting complex biological data. Utilize its array of viewers for plotting microarray and clinical data, and leverage the robust security measures for data importing and manipulation. Stay updated with the latest features in data analysis to uncover regulatory networks and pathways within your experimental paradigm. Enhance your research with Function Express today!

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Function Express: Integrated Data Analysis Platform

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Presentation Transcript

  1. Function Express November 30, 2007

  2. Compute Nodes Function Express: Architecture MGA MAC LocalDB (MySQL) Chip Data Virtual Experiment Data Integrated DB (Oracle 9i) Individual Chip Data Gene Annotations Analysis LocalDB (MySQL) Bioinformatics Core Laboratory

  3. Function Express: Log in & Auto Update

  4. Function Express: Experiment Menu

  5. Creating and Opening Virtual Experiments

  6. Function Express: Overview

  7. Importing Data and Security Features

  8. Security Movie

  9. Manipulating Categories

  10. Function Express: Viewers

  11. Plotting Microarray Data

  12. Function Express: Viewers Clinical Data Category History Probeset Data Probeset Comments Category Comments

  13. BioCarta Pathway browser

  14. Gene Inspector

  15. Browsing Gene Annotations

  16. Manipulating and Importing Analysis Results Movies

  17. Function Express: Analyzing Data

  18. SAM PCA Weighted Voting

  19. Function Express: Analyzing Data • SVM • Consensus Clustering • Comparative Marker Selection

  20. Function Express: What to do after analysis? • Are co-expressed genes co-regulated? • What regulatory networks are operating/perturbed in your experimental paradigm? • What pathways/processes emerge from a set of ‘interesting’ genes? • Promoter Analysis Pipeline • Gene Network Viewer • IPA

  21. Promoter Analysis Pipeline

  22. Gene Network Viewer

  23. Promoter Pipeline Gary Stormo On-site Personnel Li-Wei Chang Hrishikesh Deshmukh Burr Fontaine Caerie Houchins George Joseph Sunita Koul Rekha Meyer Mukesh Sharma Joanne Zhao Software Project Manager Srikanth Adiga Off-shore Personnel Anuj Tiwari Jaydeep Chovatia Rahul Jain Madhumita Shrikande Madhurima Bhattacharjee Ashwini Patil Acknowledgments

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