Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

CGHPRO -- a comprehensive data analysis tool for array CGH.

Wei Chen1, Fikret Erdogan, H-Hilger Ropers

  • 1Max-Planck Institute for Molecular Genetics, Ihnestrasse 73, 14195 Berlin, Germany. wei@molgen.mpg.de

BMC Bioinformatics
|April 6, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Routine CT Diagnostics Cause Dose-Dependent Gene Expression Changes in Peripheral Blood Cells.

International journal of molecular sciences·2025
Same author

Initial experience on abdominal photon-counting computed tomography in clinical routine: general image quality and dose exposure.

European radiology·2022
Same author

Impact of medical imaging on the epigenome - low-dose exposure in the course of computed tomography does not induce detectable changes of DNA-methylation profiles in peripheral blood cells.

International journal of radiation biology·2021
Same author

Gene expression for biodosimetry and effect prediction purposes: promises, pitfalls and future directions - key session ConRad 2021.

International journal of radiation biology·2021
Same author

Gene expression changes and DNA damage after ex vivo exposure of peripheral blood cells to various CT photon spectra.

Scientific reports·2021
Same author

Association of the Recurrent Rare Variant c.415T>C p.Phe139Leu in CLN5 With a Recessively Inherited Macular Dystrophy.

JAMA ophthalmology·2021

CGHPRO is a user-friendly software for analyzing array comparative genomic hybridization (CGH) data. This tool aids in detecting chromosomal imbalances and is suitable for clinical applications, offering offline analysis for data protection.

Area of Science:

  • Genomics
  • Molecular Cytogenetics

Background:

  • Array CGH is a genome-wide technique for detecting chromosomal imbalances.
  • It involves co-hybridization of labeled DNA to arrays, with aberrant signal ratios indicating gains or losses.
  • The increasing clinical application necessitates user-friendly software for DNA dosage estimation from array CGH data.

Purpose of the Study:

  • To develop a versatile and user-friendly software tool for array CGH data analysis.
  • To provide a comprehensive solution for normalization, visualization, breakpoint detection, and comparative analysis.
  • To create a stand-alone application not requiring a sophisticated computational environment.

Main Methods:

  • Developed CGHPRO, a stand-alone JAVA application for array CGH data analysis.
  • Incorporated customizable data import options and graphical tools for normalization method selection.

Related Experiment Videos

  • Implemented Circular Binary Segmentation and Hidden Markov Model algorithms for breakpoint detection.
  • Utilized a back-end database for simultaneous comparative analysis of multiple cases.
  • Main Results:

    • CGHPRO offers a user-friendly interface for the entire array CGH data analysis workflow.
    • The software facilitates visualization of intensity ratios along chromosome ideograms and exploration of clone characteristics.
    • Objective detection of chromosomal breakpoints is achieved through advanced algorithms.
    • Comparative analysis and identification of overlapping regions are simplified through various display options.

    Conclusions:

    • CGHPRO is a comprehensive and easy-to-use tool for array CGH data analysis.
    • Its offline functionality makes it suitable for handling sensitive patient data.
    • The software is distributed under GNU GPL license and compatible with Linux and Windows.