通过癌症基因组解剖计划对癌症进行计算机模拟分析。

In silico analysis of cancer through the Cancer Genome Anatomy Project.

作者信息

Strausberg R L, Greenhut S F, Grouse L H, Schaefer C F, Buetow K H

机构信息

National Cancer Institute, Bethesda, MD 20892, USA.

出版信息

Trends Cell Biol. 2001 Nov;11(11):S66-71. doi: 10.1016/s0962-8924(01)02104-3.

DOI:10.1016/s0962-8924(01)02104-3

PMID:11684445

Abstract

The Cancer Genome Anatomy Project (CGAP) was designed and implemented to provide public datasets, material resources and informatics tools to serve as a platform to support the elucidation of the molecular signatures of cancer. This overview of CGAP describes the status of this effort to develop resources based on gene expression, polymorphism identification and chromosome aberrations, and we describe a variety of analytical tools designed to facilitate in silico analysis of these datasets.

摘要

癌症基因组解剖计划（CGAP）的设计与实施旨在提供公共数据集、物质资源和信息学工具，作为一个支持阐明癌症分子特征的平台。本对CGAP的概述描述了基于基因表达、多态性鉴定和染色体畸变来开发资源的这项工作的现状，并且我们描述了多种旨在促进对这些数据集进行计算机分析的分析工具。