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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Stumpf, P.S., MacArthur, B.D. (2014). Visualization and Clustering of High-Dimensional Transcriptome Data Using GATE. In: Kidder, B. (eds) Stem Cell Transcriptional Networks. Methods in Molecular Biology, vol 1150. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-0512-6_7
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DOI: https://doi.org/10.1007/978-1-4939-0512-6_7
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Publisher Name: Humana Press, New York, NY
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Online ISBN: 978-1-4939-0512-6
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