Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Karyotyping

Karyotyping

Describing the number and physical features of chromosomes can reveal abnormalities that underlie genetic diseases. This description is facilitated by special staining techniques that produce a particular banding pattern on each chromosome. State-of-the-art techniques make this approach even more powerful, enabling the detection of individual genes that cause disease.A Simple Chromosome Staining Technique Provides Valuable Scientific InsightSome genetic diseases can be detected by looking at...

You might also read

Related Articles

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

Sort by

Same author

Effects of HMX exposure upon metabolic rate of northern bobwhite quail (Colinus virginianus) in ovo.

Chemosphere·2008

Same author

Effect of angiotensin II and angiotensin II type 1 receptor antagonist on the proliferation, contraction and collagen synthesis in rat hepatic stellate cells.

Chinese medical journal·2008

Same author

[Determination of nicotinamide in formula milk powder using liquid chromatography-isotope dilution mass spectrometry].

Se pu = Chinese journal of chromatography·2008

Same author

In vivo tracking of superparamagnetic iron oxide nanoparticle-labeled mesenchymal stem cell tropism to malignant gliomas using magnetic resonance imaging. Laboratory investigation.

Journal of neurosurgery·2008

Same author

Enhancement and broadening of extreme-ultraviolet supercontinuum in a relative phase controlled two-color laser field.

Optics letters·2008

Same author

Screening and breeding of high taxol producing fungi by genome shuffling.

Science in China. Series C, Life sciences·2008

Search research articles

Related Experiment Video

Updated: Jul 18, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Markers improve clustering of CGH data.

Jun Liu¹, Sanjay Ranka, Tamer Kahveci

¹Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611, USA. juliu@cise.ufl.edu

Bioinformatics (Oxford, England)

|December 8, 2006

Summary

This study introduces a novel dynamic programming algorithm to identify key genomic markers for clustering Comparative Genomic Hybridization (CGH) data. These markers effectively reduce noise, significantly improving cancer subtyping accuracy.

More Related Videos

Infinium Assay for Large-scale SNP Genotyping Applications

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

Related Experiment Videos

Last Updated: Jul 18, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

Infinium Assay for Large-scale SNP Genotyping Applications

Infinium Assay for Large-scale SNP Genotyping Applications

Published on: November 19, 2013

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Array Comparative Genomic Hybridization (Array CGH) for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Comparative Genomic Hybridization (CGH) data analysis presents challenges due to noisy genomic aberrations.
Effective clustering of CGH samples is crucial for understanding cancer subtypes and progression.

Purpose of the Study:

To develop a robust method for clustering CGH data by mitigating the impact of noisy genomic intervals.
To identify significant genomic markers that accurately represent aberration patterns in cancer types.

Main Methods:

A dynamic programming algorithm was developed to identify a set of informative genomic markers.
Two clustering strategies were implemented: a prototype-based approach and a similarity-based approach using a novel RSim measure.

Main Results:

The identified markers effectively capture cancer-specific aberration patterns.
Both clustering strategies utilizing the markers demonstrated significant improvements in clustering quality compared to existing methods.

Conclusions:

The proposed marker identification and clustering strategies offer a powerful tool for analyzing CGH data.
This approach enhances the accuracy of cancer subtyping and facilitates a deeper understanding of genomic alterations.