1. Microarray Analysis Software at NIH

2. 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

3. BRB ArraTools - Key Features

4. ArrayDB Interactive user interface for Mining and Analysis of microarray gene expression data Main Applet –Experiment Viewer –Multi-Experiment Viewer

5. ArrayDB ArrayDB - Query Array Data

6. 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

7. 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

8. 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