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HiTC: exploration of high-throughput 'C' experiments.

Nicolas Servant1, Bryan R Lajoie, Elphège P Nora

  • 1Institut Curie, F-75248 Paris, France. nicolas.servant@curie.fr

Bioinformatics (Oxford, England)
|August 28, 2012
PubMed
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The HiTC R package simplifies analyzing high-throughput chromosome conformation capture (3C) data. It enables efficient data manipulation, normalization, and visualization of interaction maps for researchers.

Area of Science:

  • Genomics and Bioinformatics
  • Computational Biology

Background:

  • High-throughput chromosome conformation capture (3C) techniques generate complex interaction datasets.
  • Analyzing 3C data requires specialized bioinformatics tools for efficient exploration.

Purpose of the Study:

  • To introduce the HiTC R package for exploring high-throughput 3C-based data.
  • To provide a user-friendly framework for manipulating and visualizing 3C interaction maps.

Main Methods:

  • The HiTC package is implemented within the R/Bioconductor framework.
  • It supports importing, exporting, transforming, normalizing, annotating, and visualizing 3C data.

Main Results:

  • HiTC facilitates the comprehensive exploration of 3C-based genomic interaction data.

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  • The package allows for detailed analysis and visualization of interaction maps.

    • Conclusions:

    • The HiTC R package enhances the analysis of high-throughput 3C data.
    • Its integration within Bioconductor promotes future advancements in the field of 3C data analysis.