Chapter title |
Visualization and Clustering of High-Dimensional Transcriptome Data Using GATE
|
---|---|
Chapter number | 7 |
Book title |
Stem Cell Transcriptional Networks
|
Published in |
Methods in molecular biology, January 2014
|
DOI | 10.1007/978-1-4939-0512-6_7 |
Pubmed ID | |
Book ISBNs |
978-1-4939-0511-9, 978-1-4939-0512-6
|
Authors |
Patrick S. Stumpf, Ben D. MacArthur, Stumpf, Patrick S., MacArthur, Ben D. |
Abstract |
The potential gains from advances in high-throughput experimental molecular biology techniques are commonly not fully realized since these techniques often produce more data than can be easily organized and visualized. To address these problems, GATE (Grid-Analysis of Time-Series Expression) was developed. GATE is an integrated software platform for the analysis and visualization of high-dimensional time-series datasets, which allows flexible interrogation of time-series data against a wide range of databases of prior knowledge, thus linking observed molecular dynamics to potential genetic, epigenetic, and signaling mechanisms responsible for observed dynamics. This article provides a brief guide to using GATE effectively. |
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