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

CGH-Plotter: MATLAB toolbox for CGH-data analysis.

Reija Autio1, Sampsa Hautaniemi, Päivikki Kauraniemi

  • 1Institute of Signal Processing, Tampere University of Technology, 33101 Finland.

Bioinformatics (Oxford, England)
|December 14, 2004
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

Household income during childhood and risk of youth suicide attempts and deaths: a register-based study from Finland.

Social psychiatry and psychiatric epidemiology·2026
Same author

Mapping the future of medicine through digital twins.

Frontiers in molecular medicine·2026
Same author

Uncovering the similarities of lipidome-wide markers of carotid artery plaque and metabolic dysfunction-associated fatty liver disease: the Young Finns study.

Scientific reports·2026
Same author

Changes in self-rated health and its association with social determinants - repeated cross-sectional surveys among Finnish adolescents from 1981 to 2025.

BMC public health·2026
Same author

Physician global assessment in rheumatoid arthritis-is there any logic?

Rheumatology advances in practice·2025
Same author

The role of digital twins in P4 medicine: A paradigm for modern healthcare.

NPJ digital medicine·2025
Same journal

Biomedical Concept Recognition with Error-aware Negative-enhanced Ranking Framework.

Bioinformatics (Oxford, England)·2026
Same journal

TEDLH: Domain HMMs for sensitive detection of remote homologues.

Bioinformatics (Oxford, England)·2026
Same journal

PLNFGL: Joint Estimation of Multi-Condition Gene Networks from Single-cell RNA-seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026
See all related articles

CGH-Plotter is a MATLAB toolbox that visualizes comparative genomic hybridization (CGH) data and identifies genomic amplifications and deletions. This tool aids in analyzing CGH and cDNA microarray expression data efficiently.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Comparative Genomic Hybridization (CGH) microarrays are crucial for detecting genomic copy number variations.
  • Analyzing CGH data requires specialized tools for visualization and accurate identification of alterations.

Purpose of the Study:

  • To introduce CGH-Plotter, a MATLAB toolbox with a graphical user interface for analyzing CGH microarray data.
  • To provide a tool for rapid visualization and identification of genomic amplifications and deletions from CGH data.

Main Methods:

  • Utilizes k-means clustering and dynamic programming for identifying amplified and deleted regions.
  • Features a graphical user interface for intuitive data visualization and analysis.
  • Applicable to both CGH and cDNA microarray expression data.

Related Experiment Videos

Main Results:

  • CGH-Plotter enables rapid visualization of CGH data mapped to gene locations.
  • Successfully identifies regions of genomic amplifications and deletions.
  • Offers a convenient platform for CGH data analysis.

Conclusions:

  • CGH-Plotter is an effective and versatile MATLAB toolbox for CGH and cDNA microarray data analysis.
  • The toolbox facilitates efficient identification and visualization of genomic alterations.
  • Its platform independence and user-friendly interface enhance its utility in genomic research.