Projects > Function Express Client
CONTACT INFORMATION
  Mukesh Sharma
Biomedical Informatics Project Manager I
Center for Biomedical Informatics
Washington University in St. Louis
Phone: 314-747-7974
Fax: 314-747-7999
Email: Sharmam@pathology.wustl.edu
RESOURCES (if any)
Web Links
Overview
Presentations
Function Express Client
Videos
PrivilegesFE
Custom Annotation Viewer Part1- Import data
Custom Annotation Viewer Part 2- Internal calculations
Significance Analysis of Microarrays
Principal Component Analysis
Weighted Voting Part 1- Selected Probes
Weighted Voting Part 2- All Probes
Promoter Analysis Pipeline_demo_windows
Gene Network Viewer
Pod Casts
 
Project Description
Microarray experiments provide access to expression levels of thousands of genes at once and produce large amounts of complex data. Function Express (FE) enables researchers to analyze their expression microarray data in the context of genome annotation. FE is a comprehensive microarray data analysis suite that offers data management tools, data analysis algorithms, rich genome annotation, visualization tools, integration of phenotypic data during analysis and visualization, and a data sharing platform between research groups.

FE’s prominent features include analyzing microarray gene expression data in the context of functional annotations from Gene Ontology, literature-based gene networks, interacting partners, and co-expressed genes. Users can compare gene expression levels across different samples and species, filter genes on the basis of annotation or expression data, cluster probesets/samples using different supervised/unsupervised clustering and classification algorithms, and assign privileges to other investigators in order to share analytical results.
Availability
To install FE please e-mail help@bmi.wustl.edu.
Technical Specifications
An Oracle 10g database server is used for storing data from expression profiling experiments and annotations from external databases. An integrated suite of PERL and JAVA applications run on a Linux cluster and are utilized to process various clustering/classification algorithms. User specific analyses are stored in laboratory- or department-specific MySQL 4.0 database servers. Function Express client is developed using Borland C++ 6.0.