A tuberculosis ontology for host systems biology.
Tuberculosis (Edinb)
; 95(5): 570-4, 2015 Sep.
Article
em En
| MEDLINE
| ID: mdl-26190839
ABSTRACT
A major hurdle facing tuberculosis (TB) investigators who want to utilize a rapidly growing body of data from both systems biology approaches and omics technologies is the lack of a standard vocabulary for data annotation and reporting. Lacking a means to readily compare samples from different research groups, a significant quantity of potentially informative data is largely ignored by researchers. To facilitate standardizing data across studies, a simple ontology of TB terms was developed to provide a common vocabulary for annotating data sets. New terminology was developed to address animal models and experimental systems, and existing clinically focused terminology was modified and adapted. This ontology can be used to annotate host TB data in public databases and collaborations, thereby standardizing database searches and allowing researchers to more easily compare results. To demonstrate the utility of a standard TB ontology for host systems biology, a web application was developed to annotate and compare human and animal model gene expression data sets.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Tuberculose
/
Perfilação da Expressão Gênica
/
Bases de Dados Genéticas
/
Biologia de Sistemas
/
Transcriptoma
/
Ontologia Genética
/
Mycobacterium tuberculosis
/
Terminologia como Assunto
Tipo de estudo:
Prognostic_studies
Limite:
Animals
/
Humans
Idioma:
En
Revista:
Tuberculosis (Edinb)
Ano de publicação:
2015
Tipo de documento:
Article
País de afiliação:
Estados Unidos