DISsection of
CLusters Obtained by
SEries of transcriptome data
DISCLOSE benchmarks clustering methods using biological annotations and a DNA binding site detection algorithm. This algorithm allows the prediction of cis-regulatory motifs of genes which are part of the same cluster.
DISCLOSE has the following main features:
Support for several functional annotation sources
Extensive prokaryote support
Integrated clustering algorithms (K-means and Self Organizing Maps)
Evaluation of clusters using biological knowledge
De novo identification of DNA binding sites
Visualization of putative and known DNA binding sites
DISCLOSE is based on FIVA
(Functional Information Viewer and Analyzer) which was developed to mine single DNA Microarray experiment data.
To get started using DISCLOSE
Check the requirements section for system requirements.
Download DISCLOSE (for additional help please check the installation section).
Retrieve one of our compiled
databases or create one yourself.
To get a quick overview of DISCLOSE, check our three tutorial videos in flash format (high resolution media file link available underneath movie):
Tutorial 1: import data in DISCLOSE (High resolution movie can be found here) Note: precompiled databases for many prokaryotes are available from this page.
Tutorial 2: Set the clustering settings and functional analysis results (High resolution movie can be found here)
Tutorial 3: Analyze putative motif results (High resolution movie can be found here)
A free cross platform media player for the high resolution files can be found here.
Having troubles or questions? Check our FAQ section or mail us!
