Memorias de investigación
Book chapters:
Integration of Omics Data for Cancer Research
Year:2009

Research Areas
  • Artificial intelligence,
  • Programming language

Information
Abstract
The development of high-throughput techniques for analyzing cell components has provided vast amounts of data in recent years. This development of gene-sequencing methods was followed by advances in techniques for analyzing and managing data from transcriptomes, proteomes, and other omics data. The so-called omics revolution has led to the development of numerous databases describing specific cell components. A recent study suggests that cell behavior cannot be modeled by analyzing its constituents separately, but rather calls for an integrative approach (Barabási and Oltvai 2004). Thus, specialized techniques are being developed to integrate omics information. To enable new research avenues that can take advantage of and apply this information to new therapies ¿ e.g. in cancer research ¿ methods must be designed that provide a seamless integration of these new databases with classical clinical data.
International
Si
10.1007/978-90-481-2675-0
Book Edition
0
Book Publishing
Springer Netherlands
ISBN
978-90-481-2674-3
Series
Book title
An Omics Perspective on Cancer Research
From page
249
To page
266
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (LIA)
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
  • Departamento: Inteligencia Artificial