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Related Concept Videos

Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...

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Related Experiment Video

Updated: Jun 4, 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

Data mining methods in Omics-based biomarker discovery.

Fan Zhang1, Jake Y Chen

  • 1Indiana University School of Informatics, Indianapolis, IN, USA. fanzhang@iupui.edu

Methods in Molecular Biology (Clifton, N.J.)
|March 4, 2011
PubMed
Summary
This summary is machine-generated.

Omics technologies like genomics and proteomics offer new ways to find disease biomarkers. Data mining techniques are crucial for identifying these biological markers from complex datasets for diagnosis and prognosis.

Related Experiment Videos

Last Updated: Jun 4, 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

Area of Science:

  • Biomedical Informatics
  • Genomics
  • Proteomics

Background:

  • Omics technologies (genomics, proteomics) hold promise for novel biomarker discovery.
  • Biomarkers are essential for disease diagnosis, prognosis, and monitoring.
  • Data mining is increasingly vital for analyzing Omics data to find these markers.

Purpose of the Study:

  • To provide an overview of data mining methods for biomarker discovery.
  • To highlight applications of data mining in genomics and proteomics.
  • To explain relevant data mining terminology and techniques.

Main Methods:

  • Review of general data mining methodologies.
  • Application of data mining to genomics and proteomics data.
  • Exemplary case studies illustrating biomarker discovery.

Main Results:

  • Data mining offers powerful tools for identifying disease biomarkers.
  • Genomics and proteomics data can be effectively analyzed using these methods.
  • Case studies demonstrate practical applications in biomarker identification.

Conclusions:

  • Data mining is a key approach for leveraging Omics data in healthcare.
  • Biomarker discovery through data mining aids in disease management.
  • Understanding data mining techniques is crucial for advancing personalized medicine.