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Time-Series Graph00:54

Time-Series Graph

A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...

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ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

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Published on: January 16, 2019

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

Ben D MacArthur1, Alexander Lachmann, Ihor R Lemischka

  • 1Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, New York, NY, USA.

Bioinformatics (Oxford, England)
|November 7, 2009
PubMed
Summary

We developed Grid Analysis of Time series Expression (GATE), a software platform for analyzing and visualizing biomolecular time series data. GATE creates interactive animated movies to reveal molecular regulatory dynamics and infer control mechanisms.

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Area of Science:

  • Computational biology
  • Bioinformatics
  • Systems biology

Background:

  • High-dimensional biomolecular time series data present challenges in analysis and visualization.
  • Understanding molecular regulatory dynamics is crucial for biological research.

Purpose of the Study:

  • To present Grid Analysis of Time series Expression (GATE), an integrated computational software platform.
  • To enable the analysis and visualization of high-dimensional biomolecular time series.
  • To facilitate the inference of regulatory control mechanisms.

Main Methods:

  • Utilizes a correlation-based clustering algorithm to arrange molecular time series.
  • Arranges data on a two-dimensional hexagonal array.
  • Dynamically colors hexagons based on molecular component expression levels to create animated movies.

Main Results:

  • Generates animated movies visualizing systems-level molecular regulatory dynamics.
  • Allows interactive interrogation of movies against prior knowledge datasets.
  • Enables network reconstruction and functional enrichment analyses.

Conclusions:

  • GATE provides an integrated platform for analyzing and visualizing biomolecular time series.
  • Interactive movie features aid in inferring regulatory mechanisms and understanding biological dynamics.
  • Movies can be saved and embedded in manuscripts as interactive figures.