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Kinomics toolbox-A web platform for analysis and viewing of kinomic peptide array data.

Alex M Dussaq1, Timothy Kennell2, Nicholas J Eustace1

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This study introduces a new JavaScript-based Kinomics Toolbox to analyze peptide microarray data. The software offers optimized data capture, normalization, outlier detection, and visualization for reproducible kinomics research.

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Area of Science:

  • Kinomics
  • Biotechnology
  • Bioinformatics

Background:

  • Kinomics studies global kinase activity, offering direct insights into protein function.
  • Peptide microarrays are widely used for kinomic analysis, but lack sufficient bioinformatic tools.
  • Limited accessible software hinders standardization and dissemination of kinomic data.

Purpose of the Study:

  • To develop and present accessible open-access software tools for analyzing kinomic data from PamChip® peptide microarrays.
  • To facilitate standardization and dissemination of kinomic data through improved bioinformatic analysis.
  • To create an extensible, web-based analytic platform for kinomics researchers.

Main Methods:

  • Procedural optimization of kinetic curve data capture.
  • Development of new methods for background normalization and outlier detection.
  • Creation of a standardized data model for storing array data.
  • Implementation of tools using JavaScript for server-side or client-side applications.

Main Results:

  • A comprehensive Kinomics Toolbox was developed, featuring a technical reproducibility visualizer.
  • An ANOVA-based detector for identifying differentially phosphorylated peptides was created.
  • A heatmap display with hierarchical clustering was implemented for data visualization.

Conclusions:

  • The Kinomics Toolbox provides an extensible, web-based platform for kinomic data analysis.
  • The developed tools address the need for accessible bioinformatic solutions in kinomics research.
  • This work promotes standardization and facilitates the dissemination of kinomic data.