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2015 ; 95
(5
): 570-4
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A tuberculosis ontology for host systems biology
#MMPMID26190839
Levine DM
; Dutta NK
; Eckels J
; Scanga C
; Stein C
; Mehra S
; Kaushal D
; Karakousis PC
; Salamon H
Tuberculosis (Edinb)
2015[Sep]; 95
(5
): 570-4
PMID26190839
show ga
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.
free
free
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