Download Microarray Analysis at NIH

Microarray Analysis Software
at NIH
BRB ArrayTools
• Visualization and Statistical analysis of
gene expression data
• Features
– Excel Add-in
– Flexible Data Import
– Statistical Methods
– Visualization tools
– Integrate GenLists with Bio Data
BRB ArraTools
- Key Features
ArrayDB
• Interactive user interface for Mining and
Analysis of microarray gene expression
data
• Main Applet
– Experiment Viewer
– Multi-Experiment Viewer
ArrayDB - Query Array Data
P-SCAN – Peak quantification using
Statistical Comparative ANalysis
• Written in MATLAB
• Features
– For each image generate a file containing
spot intensities and addresses.
– Compare spot intensities between different
filters and generate a list of over and under
expressed genes.
– Visually examine pairs of spots reported as
differentially expressed.
– Sophisticated statistical analysis
F-Scan – Fluorescently Probed
cDNA Microarray Analysis
• Written in MATLAB
• Features
– Generate a file containing spot intensities and
addresses and display a scatterplot
– Compare spot intensities generate a list of
over and under expressed genes.
– Visually examine pairs of spots reported as
differentially expressed.
– Sophisticated statistical analysis
MicroArray Project System
(MAPS)
• Implement environmental biological
resources for concise management
• Relational database management system
• Allow parallel analysis on replicate
experimental data to validate results
• Download