Computational solutions for omics data.
Nat Rev Genet
; 14(5): 333-46, 2013 May.
Article
em En
| MEDLINE
| ID: mdl-23594911
ABSTRACT
High-throughput experimental technologies are generating increasingly massive and complex genomic data sets. The sheer enormity and heterogeneity of these data threaten to make the arising problems computationally infeasible. Fortunately, powerful algorithmic techniques lead to software that can answer important biomedical questions in practice. In this Review, we sample the algorithmic landscape, focusing on state-of-the-art techniques, the understanding of which will aid the bench biologist in analysing omics data. We spotlight specific examples that have facilitated and enriched analyses of sequence, transcriptomic and network data sets.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Biologia Computacional
/
Genômica
Limite:
Humans
Idioma:
En
Ano de publicação:
2013
Tipo de documento:
Article