Digital candidate gene approach (DigiCGA) for identification of cancer genes.
Methods Mol Biol
; 653: 105-29, 2010.
Article
em En
| MEDLINE
| ID: mdl-20721740
ABSTRACT
The candidate gene approach is one of the most commonly used methods for identifying genes underlying disease traits. Advances in genomics have greatly contributed to the development of this approach in the past decade. More recently, with the explosion of genomic resources accessible via the public Web, digital candidate gene approach (DigiCGA) has emerged as a new development in this field. DigiCGA, an approach still in its infancy, has already achieved some primary success in cancer gene discovery. However, a detailed discussion concerning the applications of DigiCGA in cancer gene identification has not been addressed. This chapter will focus on discussing DigiCGA in a generalized sense and its applications to the identification of cancer genes, including the cancer gene resources, application status, platform and tools, challenges, and prospects.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Biologia Computacional
/
Genes Neoplásicos
/
Estudos de Associação Genética
/
Neoplasias
Idioma:
En
Ano de publicação:
2010
Tipo de documento:
Article