TY - JOUR
T1 - DSGeo
T2 - Software tools for cross-platform analysis of gene expression data in GEO
AU - Lacson, Ronilda
AU - Pitzer, Erik
AU - Kim, Jihoon
AU - Galante, Pedro
AU - Hinske, Christian
AU - Ohno-Machado, Lucila
PY - 2010/10
Y1 - 2010/10
N2 - The Gene Expression Omnibus (GEO) is the largest resource of public gene expression data. While GEO enables data browsing, query and retrieval, additional tools can help realize its potential for aggregating and comparing data across multiple studies and platforms. This paper describes DSGeo-a collection of valuable tools that were developed for annotating, aggregating, integrating, and analyzing data deposited in GEO. The core set of tools include a Relational Database, a Data Loader, a Data Browser, and an Expression Combiner and Analyzer.The application enables querying for specific sample characteristics and identifying studies containing samples that match the query. The Expression Combiner application enables normalization and aggregation of data from these samples and returns these data to the user after filtering, according to the user's preferences. The Expression Analyzer allows simple statistical comparisons between groups of data. This seamless integration makes annotated cross-platform data directly available for analysis.
AB - The Gene Expression Omnibus (GEO) is the largest resource of public gene expression data. While GEO enables data browsing, query and retrieval, additional tools can help realize its potential for aggregating and comparing data across multiple studies and platforms. This paper describes DSGeo-a collection of valuable tools that were developed for annotating, aggregating, integrating, and analyzing data deposited in GEO. The core set of tools include a Relational Database, a Data Loader, a Data Browser, and an Expression Combiner and Analyzer.The application enables querying for specific sample characteristics and identifying studies containing samples that match the query. The Expression Combiner application enables normalization and aggregation of data from these samples and returns these data to the user after filtering, according to the user's preferences. The Expression Analyzer allows simple statistical comparisons between groups of data. This seamless integration makes annotated cross-platform data directly available for analysis.
KW - Biomedical data annotation
KW - Cross-platform analysis
KW - Gene expression data
KW - Integration
KW - User-Computer Interface
KW - Humans
KW - Computational Biology
KW - Information Storage and Retrieval
KW - Gene Expression Profiling
KW - Animals
KW - Software
KW - Medical Informatics Applications
KW - Computer Communication Networks
UR - http://www.scopus.com/inward/record.url?scp=77956265904&partnerID=8YFLogxK
U2 - 10.1016/j.jbi.2010.04.007
DO - 10.1016/j.jbi.2010.04.007
M3 - Article
C2 - 20435161
AN - SCOPUS:77956265904
SN - 1532-0464
VL - 43
SP - 709
EP - 715
JO - Journal of Biomedical Informatics
JF - Journal of Biomedical Informatics
IS - 5
ER -