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Updated: Apr 12, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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SpeckTackle: JavaScript charts for spectroscopy.

Stephan Beisken1, Pablo Conesa1, Kenneth Haug1

  • 1European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, CB10 1SD UK.

Journal of Cheminformatics
|May 19, 2015
PubMed
Summary
This summary is machine-generated.

SpeckTackle is a new JavaScript library that simplifies spectroscopy data visualization for life sciences. It offers an intuitive, cross-browser compatible tool for spectral resources, promoting wider data accessibility.

Keywords:
Charting libraryJavaScriptSpectroscopy

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Area of Science:

  • Life sciences
  • Biochemistry
  • Metabolomics

Background:

  • Spectra visualization is crucial for web-facing spectral resources like mass spectrometry, infrared spectroscopy, and nuclear magnetic resonance.
  • Developing custom visualization tools is resource-intensive, leading many databases to create their own viewers.

Purpose of the Study:

  • To introduce SpeckTackle, a JavaScript charting library designed for spectroscopy visualization in life sciences.
  • To provide an easily integrable and versatile solution for spectral data presentation.

Main Methods:

  • Developed a custom JavaScript charting library named SpeckTackle.
  • Ensured cross-browser compatibility and ease of integration into existing resources.
  • Demonstrated integration with the MetaboLights database.

Main Results:

  • SpeckTackle offers default chart types that adhere to established standards for spectroscopy visualization.
  • The library is designed for intuitive use and covers common visualization tasks.
  • Successfully integrated SpeckTackle into the MetaboLights database.

Conclusions:

  • SpeckTackle is released under GNU LGPL to encourage community adoption and reuse.
  • The library is available online with documentation and examples for extension.
  • Promotes standardized and accessible spectroscopy data visualization.