ANALYSIS PROGRAMSWe provide access and expertise in the use of a variety of analysis programs for the
analysis of DNA microarray data. These are publicly available programs that are available
for download to your own computer. Alternatively, the programs are also available in the
computer room of the microarray center (207 Jones).
Duke Integrated Genomics
(DIG) Annotation System
A relational database system for storage of a variety of functional information sources
linked to the genes included on most microarrays utilized within the Duke Microarray
Center.
SAM
This software was developed at Stanford and is known as Significance Analysis of Microarrays.
SAM identifies genes with statistically significant changes in expression by assimilating a
set of gene specific t tests (for more information about SAM, see http://www-stat.stanford.edu/~tibs/SAM/pnassam.pdf).
Cluster
A program developed by Michael Eisen for the analysis of gene expression data using hierarchical
clustering, self-organizing maps (SOMs), k-means clustering, and principal component analysis.
Hierarchical clustering methods described in Eisen et al. (1998) PNAS 95:14863.
TreeView
A program developed by Michael Eisen for visualization of the results of microarray data analysis.
One can graphically browse results of clustering and other analyses from Cluster. Supports
tree-based and image based browsing of hierarchical trees. Multiple output formats for generation
of images for publications.
dChip
A program developed by Wing Wang's lab at Harvard known as DNA-Chip Analyzer (dChip). dChip is a
model-based analysis of oligonucleotide expression arrays that uses a probe-sensitivity index to
capture the response characteristic of a specific probe pair and calculates model-based expression
indexes. dChip is described in Genome Biol. 2001;2(8):RESEARCH0032 and J Cell Biochem Suppl
2001;Suppl 37:120-5.
GeneSpring
The Microarray Core Facility has a site license for GeneSpring®. The software allows one to
visualize, organize and manipulate gene expression data. GeneSpring 4.2 now offers drag-and-drop
file loading and exporting; intensity-dependent normalization that corrects for dye bias in
two-color data; a new scatterplot view with enhanced functionality; a display options window to
easily control and fine-tune the appearance of your data; and an advanced find genes feature
that allows the creation of new gene lists based on annotations. You can download a demo of the
software and then contact Holly Dressman (dress002@mc.duke.edu
or 668-1583) to obtain the site license password that will enable use of GeneSpring on your computer.
Partek
The Microarray Core Facility has a site license for Partek. Partek Pro features the Analytical
SpreadsheetTM and Pattern Visualization SystemTM, that it is a comprehensive data processing,
analysis, and visualization system for microarray data. You can download a demo of the software
and then contact Holly Dressman (dress002@mc.duke.edu
or 668-1583) to obtain the site license password that will enable use of Partek on your computer.
Gene Annotation Tools: Onto-Express (developed at the Department of Computer
Science, Wayne State University)
Using strings of accession or cluster identification numbers, Onto-Express searches the
public databases and returns tables that correlate expression profiles with the cytogenetics
gene locations, the biochemical and molecular functions, the biological processes, cellular
components and cellular roles of the translated proteins. The profiles created by Onto-Express
fundamentally increase the value of gene expression analyses by facilitating the translation
of quantitative value sets to records that contain biological implications.
Resourcerer 5.0 (developed at TIGR)
RESOURCERER (Genome
Biology 2001 PDF) provides annotation based on the TIGR Gene Indices (TGI) for commomly available microarray resources, including widely used
clone sets and Affymetrix GeneChip
Arrays. RESOURCERER also allows comparisons between resources from the same species using
either TGI or
UniGene
and between species using the EGO database.