Predicting biological networks from genomic data.
FEBS Lett
; 582(8): 1251-8, 2008 Apr 09.
Article
en En
| MEDLINE
| ID: mdl-18294967
ABSTRACT
Continuing improvements in DNA sequencing technologies are providing us with vast amounts of genomic data from an ever-widening range of organisms. The resulting challenge for bioinformatics is to interpret this deluge of data and place it back into its biological context. Biological networks provide a conceptual framework with which we can describe part of this context, namely the different interactions that occur between the molecular components of a cell. Here, we review the computational methods available to predict biological networks from genomic sequence data and discuss how they relate to high-throughput experimental methods.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Genómica
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
FEBS Lett
Año:
2008
Tipo del documento:
Article
País de afiliación:
Alemania