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Related Experiment Videos

CGH-Explorer: a program for analysis of array-CGH data.

Ole Christian Lingjaerde1, Lars O Baumbusch, Knut Liestøl

  • 1Department of Informatics, University of Oslo, PO Box 1080 Blindern, N-0316 Oslo, Norway. ole@ifi.uio.no

Bioinformatics (Oxford, England)
|November 9, 2004
PubMed
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CGH-Explorer offers visualization and statistical analysis for microarray-based comparative genomic hybridization (array-CGH) data. It aids in identifying amplified or deleted genomic regions from array-CGH experiments.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Microarray-based comparative genomic hybridization (array-CGH) is crucial for detecting genomic copy number variations.
  • Analyzing array-CGH data requires specialized tools for effective visualization and statistical interpretation.
  • Identifying regions of genomic amplification and deletion is key to understanding genetic disorders and cancer.

Purpose of the Study:

  • To introduce CGH-Explorer, a novel software program designed for array-CGH data analysis.
  • To provide researchers with a comprehensive tool for the visualization and statistical assessment of array-CGH results.
  • To facilitate the identification of significant genomic alterations from microarray data.

Main Methods:

  • CGH-Explorer incorporates data preprocessing functionalities.

Related Experiment Videos

  • The program offers graphical exploration tools for individual and grouped array data.
  • Statistical methods are integrated for identifying regions of genomic amplification and deletion.

    • Main Results:

    • CGH-Explorer enables effective visualization of array-CGH data.
    • The software provides robust statistical analysis for identifying copy number changes.
    • It supports the exploration of both single and multiple array datasets.

    Conclusions:

    • CGH-Explorer is a valuable program for the analysis of array-CGH data.
    • The tool enhances the ability to visualize and statistically analyze genomic variations.
    • It aids in the accurate identification of amplified and deleted genomic regions.