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Related Concept Videos

DNA Microarrays02:34

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...
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
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Such genes that act...
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
Cancer-Critical Genes I: Proto-oncogenes01:33

Cancer-Critical Genes I: Proto-oncogenes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
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Updated: Jun 25, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

BRB-ArrayTools Data Archive for human cancer gene expression: a unique and efficient data sharing resource.

Yingdong Zhao1, Richard Simon

  • 1Biometric Research Branch, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA.

Cancer Informatics
|March 5, 2009
PubMed
Summary
This summary is machine-generated.

A new data archive simplifies sharing human cancer microarray data for clinical investigators. This tool enhances access to expression data and clinical information, improving cancer research collaboration.

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Last Updated: Jun 25, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker
07:47

Multiomics Analysis of TMEM200A as a Pan-Cancer Biomarker

Published on: September 15, 2023

Area of Science:

  • Bioinformatics
  • Cancer Research
  • Data Science

Background:

  • Increasing volumes of human cancer microarray data necessitate improved data sharing methods for clinical researchers.
  • Current limitations in interfacing databases with statistical analysis tools hinder the effective utilization of publicly available microarray data.

Purpose of the Study:

  • To develop and provide an accessible platform for sharing human cancer microarray data.
  • To bridge the gap between data storage and statistical analysis for cancer investigators.

Main Methods:

  • Development of the BRB-ArrayTools Data Archive.
  • Importation of over one hundred human cancer microarray projects (28 cancer types) into BRB-ArrayTools.
  • Storage of expression array data and clinical descriptors as BRB-ArrayTools project folders.

Main Results:

  • A comprehensive data archive containing over 100 human cancer microarray projects is now available.
  • The archive facilitates access to expression data and associated clinical descriptors for 28 cancer types.
  • The BRB-ArrayTools Data Archive is accessible online for researchers.

Conclusions:

  • The BRB-ArrayTools Data Archive provides an effective solution for sharing and utilizing human cancer microarray data.
  • This initiative aims to enhance collaboration and accelerate cancer research through improved data accessibility.
  • Ongoing development includes a GEO importer to further streamline data utilization.