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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2012.1
- 수록면
- 33 - 39 (7page)
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초록· 키워드
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High-throughput genomic technologies (HGTs), including next-generation DNA sequencing (NGS), microarray, and serial analysis of gene expression (SAGE), have become effective experimental tools for cancer genomics to identify cancer-associated somatic genomic alterations and genes. The main hurdle in cancer genomics is to identify the real causative mutations or genes out of many candidates from an HGT-based cancer genomic analysis. One useful approach is to refer to known cancer genes and associated information. The list of known cancer genes can be used to determine candidates of cancer driver mutations, while cancer gene-related information, including gene expression, protein-protein interaction, and pathways, can be useful for scoring novel candidates. Some cancer gene or mutation databases exist for this purpose, but few specialized tools exist for an automated analysis of a long gene list from an HGT-based cancer genomic analysis. This report presents a new web-accessible bioinformatic tool, called CaGe, a cancer genome annotation system for the assessment of candidates of cancer genes from HGT-based cancer genomics. The tool provides users with information on cancer-related genes, mutations, pathways, and associated annotations through annotation and browsing functions. With this tool, researchers can classify their candidate genes from cancer genome studies into either previously reported or novel categories of cancer genes and gain insight into underlying carcinogenic mechanisms through a pathway analysis. We show the usefulness of CaGe by assessing its performance in annotating somatic mutations from a published small cell lung cancer study.
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참고문헌 (12)
참고문헌 신청
Meyerson M / 2010 / Advances in understanding cancer genomes through second-generation sequencing / Nat Rev Genet 11:685~696
Zang ZJ / 2011 / Genetic and structural variation in the gastric cancer kinome revealed through targeted deep sequencing / Cancer Res 71:29~39
Futreal PA / 2004 / A census of human cancer genes / Nat Rev Cancer 4:177~183
Forbes SA / 2011 / COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer / Nucleic Acids Res 39:945~D950
Huang da W / 2009 / Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources / Nat Protoc 4:44~57
Zang ZJ / 2011 / Genetic and structural variation in the gastric cancer kinome revealed through targeted deep sequencing / Cancer Res 71:29~39
Futreal PA / 2004 / A census of human cancer genes / Nat Rev Cancer 4:177~183
Forbes SA / 2011 / COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer / Nucleic Acids Res 39:945~D950
Huang da W / 2009 / Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources / Nat Protoc 4:44~57
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