AACK adds annotation from a file to a PCL (pre-clustering) data file. AACK is written in perl.
The annotation file requires an ID and Name column. The ID’s are read from the first column of the PCL file, and the annotations are added to the second column. Does not affect the data. Intended for situations in which a different annotation is desired, such as when an annotation is published for a microarray constructed pre-annotation.
CAGED (Cluster Analysis of Gene Expression Dynamics) is a model based,Bayesian clustering procedure developed by Ramoni et al. to cluster gene expression profiles measured with microarrays in temporal experiments. Contrary to popular clustering methods, CAGED takes into account explicitly the fact that expression profiles in temporal experiments may be serially correlated and uses a model-based, Bayesian procedure to identify the best grouping of the gene expression data in an automated way.
CAGED implements a Bayesian clustering method designed to handle temporal experiments and subsuming standard independent experiments as a special case.
AMIADA is an integrated computer program for organizing, exploring, visualizing, and analyzing microarray data. It features an EXCEL-like user interface and performs data transformation, principal component analysis, a variety of cluster analysis and extensive graphic functions for visualizing expression profiles.
The MAExplorer is a Java-based bioinformatics exploratory data-analysis and data-mining program for analyzing sets of quantitative spotted cDNA or oligonucleotide microarray data . It includes data management, graphics, statistics, clustering, reports, gene data-filtering, user written MAEPlugins, documentation, tutorials, demo data. The exploratory data analysis environment provides tools for the data-mining of quantitative expression profiles across multiple microarrays.
With MAExplorer, it is possible to: 1) analyze the expression of individual genes; 2) analyze the expression of gene families and clusters; 3) compare expression patterns and outliers; 4) directly access other genomic databases for genes of interest. Previously quantified array data is copied to your local computer where it is read by MAExplorer and intermediate results as well as the data mining session state may be saved between data mining sessions.
::DEVELOPER
Dr. Peter Lemkin (LECB/NCI-Frederick) with help from Gregory Thornwall (SAIC) and Jai Evans (DECA/CIT, NIH)