A survey of computational tools for downstream analysis of proteomic and other omic datasets.
Hum Genomics
; 9: 28, 2015 Oct 28.
Article
en En
| MEDLINE
| ID: mdl-26510531
ABSTRACT
Proteomics is an expanding area of research into biological systems with significance for biomedical and therapeutic applications ranging from understanding the molecular basis of diseases to testing new treatments, studying the toxicity of drugs, or biotechnological improvements in agriculture. Progress in proteomic technologies and growing interest has resulted in rapid accumulation of proteomic data, and consequently, a great number of tools have become available. In this paper, we review the well-known and ready-to-use tools for classification, clustering and validation, interpretation, and generation of biological information from experimental data. We suggest some rules of thumb for the reader on choosing the best suitable learning method for a particular dataset and conclude with pathway and functional analysis and then provide information about submitting final results to a repository.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Programas Informáticos
/
Biología Computacional
/
Proteómica
Límite:
Humans
Idioma:
En
Revista:
Hum Genomics
Asunto de la revista:
GENETICA
Año:
2015
Tipo del documento:
Article
País de afiliación:
Estados Unidos