1 / 8

Microarray Analysis Software 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.

baker-lynch
Download Presentation

Microarray Analysis Software at NIH

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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 - 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

More Related