GATE: software for the analysis and visualization of high-dimensional time series expression data

Item Type Journal Article
Author Ben D MacArthur
Author Alexander Lachmann
Author Ihor R Lemischka
Author Avi Ma'ayan
URL http://www.ncbi.nlm.nih.gov/pubmed/19892805
Volume 26
Issue 1
Pages 143-144
Publication Bioinformatics (Oxford, England)
ISSN 1367-4811
Date Jan 1, 2010
Extra PMID: 19892805
Journal Abbr Bioinformatics
DOI 10.1093/bioinformatics/btp628
Accessed 2009-12-30 14:24:14
Library Catalog NCBI PubMed
Abstract SUMMARY: We present Grid Analysis of Time series Expression (GATE), an integrated computational software platform for the analysis and visualization of high-dimensional biomolecular time series. GATE uses a correlation-based clustering algorithm to arrange molecular time series on a two-dimensional hexagonal array and dynamically colors individual hexagons according to the expression level of the molecular component to which they are assigned, to create animated movies of systems-level molecular regulatory dynamics. In order to infer potential regulatory control mechanisms from patterns of correlation, GATE also allows interactive interroga-tion of movies against a wide variety of prior knowledge datasets. GATE movies can be paused and are interactive, allowing users to reconstruct networks and perform functional enrichment analyses. Movies created with GATE can be saved in Flash format and can be inserted directly into PDF manuscript files as interactive figures. AVAILABILITY: GATE is available for download and is free for academic use from http://amp.pharm.mssm.edu/maayan-lab/gate.htm
Title GATE: software for the analysis and visualization of high-dimensional time series expression data
Short Title GATE
Date Added 2009-12-30 09:24
Date Modified 2009-12-30 09:24