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Related Experiment Video

Updated: May 10, 2026

Polysome Fractionation and Analysis of Mammalian Translatomes on a Genome-wide Scale
10:56

Polysome Fractionation and Analysis of Mammalian Translatomes on a Genome-wide Scale

Published on: May 17, 2014

opm: an R package for analysing OmniLog(R) phenotype microarray data.

Lea A I Vaas1, Johannes Sikorski, Benjamin Hofner

  • 1CBS-KNAW Fungal Biodiversity Centre, Bioinformatics, Uppsalalaan 8. 3584 CT Utrecht, The Netherlands.

Bioinformatics (Oxford, England)
|June 7, 2013
PubMed
Summary
This summary is machine-generated.

The opm R package simplifies the analysis of OmniLog® phenotype microarray (PM) data. It offers tools for data management, visualization, and statistical analysis, aiding in microbial research.

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Last Updated: May 10, 2026

Polysome Fractionation and Analysis of Mammalian Translatomes on a Genome-wide Scale
10:56

Polysome Fractionation and Analysis of Mammalian Translatomes on a Genome-wide Scale

Published on: May 17, 2014

Area of Science:

  • Microbiology
  • Bioinformatics

Background:

  • Phenotype microarray (PM) data analysis presents challenges due to its multidimensional nature.
  • Existing tools may lack comprehensive features for managing, visualizing, and statistically analyzing PM data.

Purpose of the Study:

  • To introduce opm, an R package for the analysis of multidimensional OmniLog® phenotype microarray data.
  • To provide a user-friendly and comprehensive solution for PM data management and statistical analysis.

Main Methods:

  • Development of an R package (opm) integrating data management, visualization, and statistical analysis tools.
  • Implementation of curve-parameter estimation, discretization, customizable plotting, and metadata management.
  • Inclusion of automated report generation and data export functionalities for phylogenetic software.

Main Results:

  • The opm package offers robust management and visualization of complex PM data.
  • It enables detailed statistical analysis, including curve-parameter estimation and discretization.
  • Automated reporting and data export features streamline the research workflow.

Conclusions:

  • opm is a powerful R package for comprehensive analysis of OmniLog® phenotype microarray data.
  • It facilitates data management, visualization, and statistical analysis, enhancing microbial research.
  • The package provides tools for automated reporting and interoperability with phylogenetic software.