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

DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

You might also read

Related Articles

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

Sort by

Same author

Sampling frequency matters: mapping of the healthy infants' gut microbiome during the first year of life.

Current research in microbial sciences·2025

Same author

Cytokinins control secondary cell wall formation in the inflorescence stem of Arabidopsis.

Development (Cambridge, England)·2025

Same author

Antimicrobials Shape the Gut Microbiome Structure and Digestive Profile of Invertebrates.

Environmental science & technology·2025

Same author

A quantitative tumor-wide analysis of morphological heterogeneity of colorectal adenocarcinoma.

The journal of pathology. Clinical research·2025

Same author

Pooled analysis of 3,741 stool metagenomes from 18 cohorts for cross-stage and strain-level reproducible microbial biomarkers of colorectal cancer.

Nature medicine·2025

Same author

Search for Mutations Connected With Non-Response to Anti-EGFR Therapy in mCRC in the Morphologically Defined Regions of Primary Tumours.

Cancer medicine·2025

Search research articles

Related Experiment Video

Updated: Jun 26, 2026

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization

Published on: August 5, 2008

MSMAD: a computationally efficient method for the analysis of noisy array CGH data.

Eva Budinska¹, Eva Gelnarova, Michael G Schimek

¹Institute of Biostatistics and Analyses, Masaryk University, Kamenice 126/3, 625 00 Brno, Czech Republic. budinska@iba.muni.cz

Bioinformatics (Oxford, England)

|January 17, 2009

Summary

This study introduces a computationally efficient algorithm for analyzing comparative genomic hybridization (CGH) arrays, improving the detection of genomic aberrations in noisy cancerogenesis data. The method utilizes median absolute deviation for breakpoint detection, outperforming existing techniques.

More Related Videos

Profiling of Methyltransferases and Other S-adenosyl-L-homocysteine-binding Proteins by Capture Compound Mass Spectrometry (CCMS)

Profiling of Methyltransferases and Other S-adenosyl-_L-homocysteine-binding Proteins by Capture Compound Mass Spectrometry (CCMS)

Published on: December 20, 2010

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: Jun 26, 2026

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization

Published on: August 5, 2008

Profiling of Methyltransferases and Other S-adenosyl-L-homocysteine-binding Proteins by Capture Compound Mass Spectrometry (CCMS)

Profiling of Methyltransferases and Other S-adenosyl-_L-homocysteine-binding Proteins by Capture Compound Mass Spectrometry (CCMS)

Published on: December 20, 2010

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
Cancer Research

Background:

Genome analysis is crucial for understanding cancerogenesis.
High-resolution CGH arrays require efficient algorithms for aberration detection, especially in noisy data.

Purpose of the Study:

To develop a computationally efficient algorithm for CGH array analysis.
To enhance the detection of genomic aberrations in complex datasets.

Main Methods:

Developed a non-parametric technique using median absolute deviation for breakpoint detection.
Employed median smoothing for pre-processing CGH array data.
Implemented the algorithm in R for statistical computing.

Main Results:

The developed algorithm demonstrates high computational efficiency.
It shows potential to outperform single smoothing approaches and other segmentation techniques.
Performance validated on simulated and real datasets against existing methods.

Conclusions:

The novel algorithm offers an effective solution for CGH array analysis.
It provides a robust method for detecting genomic aberrations in noisy biological data.
The R implementation is publicly available for further research.