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08:16
Comparative Lesions Analysis Through a Targeted Sequencing Approach
Published on: November 5, 2019
In silico analysis of cancer through the Cancer Genome Anatomy Project
R L Strausberg1, S F Greenhut, L H Grouse
1National Cancer Institute, Bethesda, MD 20892, USA. RLS@nih.gov
Trends in Cell Biology
|October 31, 2001
Summary
The Cancer Genome Anatomy Project (CGAP) provides public cancer data and tools. It supports research into cancer
Area of Science:
- Genomics
- Cancer Research
- Bioinformatics
Background:
- The Cancer Genome Anatomy Project (CGAP) was established to create a public resource for cancer research.
- Understanding the molecular basis of cancer requires comprehensive datasets and analytical tools.
Purpose of the Study:
- To describe the status and resources of the CGAP.
- To highlight the development of datasets for gene expression, polymorphism identification, and chromosome aberrations.
- To introduce analytical tools for in silico analysis of cancer genomics data.
Main Methods:
- Development of public datasets focusing on gene expression.
- Identification of genetic polymorphisms in cancer samples.
- Analysis of chromosomal aberrations in cancer genomes.
- Creation of bioinformatics tools for data analysis.
Main Results:
- CGAP provides a platform with diverse molecular data on cancer.
- Resources include gene expression profiles, polymorphism data, and chromosomal aberration information.
- A suite of analytical tools is available for in silico investigation.
Conclusions:
- CGAP serves as a foundational resource for cancer molecular signature elucidation.
- The project facilitates collaborative research through shared data and tools.
- Continued development aims to enhance understanding of cancer genomics.
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