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Updated: May 10, 2026
07:50
Genome-Wide Analysis of DNA Methylation in Gastrointestinal Cancer
Published on: September 18, 2020
DNA methylation data analysis and its application to cancer research
Xiaotu Ma1, Yi-Wei Wang, Michael Q Zhang
1Department of Molecular & Cell Biology, Center for Systems Biology, The University of Texas at Dallas, Richardson, TX 75080, USA.
Epigenomics
|June 12, 2013
Summary
Computational analysis of DNA methylation data, a key epigenetic marker, offers insights into cancer. This review covers data generation techniques and mining applications, highlighting future potential for epigenetic research in disease.
Area of Science:
- Genomics
- Epigenetics
- Bioinformatics
Background:
- High-throughput technologies generate vast molecular data.
- DNA methylation is a key epigenetic regulatory mechanism.
- Computational approaches are essential for biological insights.
Purpose of the Study:
- Focus on DNA methylation data analysis.
- Explore applications in cancer research.
- Review data generation and mining techniques.
Main Methods:
- Utilizing data from genome-wide technologies.
- Focusing on Infinium HumanMethylation450 BeadChip technology.
- Describing methylome coverage and data mining examples.
Main Results:
- DNA methylation data is abundant and valuable.
- Infinium HumanMethylation450 BeadChip offers broad methylome coverage.
- Data mining reveals potential cancer-related insights.
Conclusions:
- DNA methylation analysis is crucial for cancer studies.
- Current epigenetic research has limitations.
- Future advancements will enhance epigenetic exploration in disease.
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01:46Epigenetic Regulation
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