GEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor
- PMID: 17496320
- DOI: 10.1093/bioinformatics/btm254
GEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor
Abstract
Microarray technology has become a standard molecular biology tool. Experimental data have been generated on a huge number of organisms, tissue types, treatment conditions and disease states. The Gene Expression Omnibus (Barrett et al., 2005), developed by the National Center for Bioinformatics (NCBI) at the National Institutes of Health is a repository of nearly 140,000 gene expression experiments. The BioConductor project (Gentleman et al., 2004) is an open-source and open-development software project built in the R statistical programming environment (R Development core Team, 2005) for the analysis and comprehension of genomic data. The tools contained in the BioConductor project represent many state-of-the-art methods for the analysis of microarray and genomics data. We have developed a software tool that allows access to the wealth of information within GEO directly from BioConductor, eliminating many the formatting and parsing problems that have made such analyses labor-intensive in the past. The software, called GEOquery, effectively establishes a bridge between GEO and BioConductor. Easy access to GEO data from BioConductor will likely lead to new analyses of GEO data using novel and rigorous statistical and bioinformatic tools. Facilitating analyses and meta-analyses of microarray data will increase the efficiency with which biologically important conclusions can be drawn from published genomic data.
Availability: GEOquery is available as part of the BioConductor project.
Similar articles
-
Mining microarray data at NCBI's Gene Expression Omnibus (GEO)*.Methods Mol Biol. 2006;338:175-90. doi: 10.1385/1-59745-097-9:175. Methods Mol Biol. 2006. PMID: 16888359 Free PMC article.
-
GEOmetadb: powerful alternative search engine for the Gene Expression Omnibus.Bioinformatics. 2008 Dec 1;24(23):2798-800. doi: 10.1093/bioinformatics/btn520. Epub 2008 Oct 7. Bioinformatics. 2008. PMID: 18842599 Free PMC article.
-
Bioinformatics analysis of microarray data.Methods Mol Biol. 2009;573:259-84. doi: 10.1007/978-1-60761-247-6_15. Methods Mol Biol. 2009. PMID: 19763933 Review.
-
Codelink: an R package for analysis of GE healthcare gene expression bioarrays.Bioinformatics. 2007 May 1;23(9):1168-9. doi: 10.1093/bioinformatics/btm072. Epub 2007 Mar 7. Bioinformatics. 2007. PMID: 17344240
-
Gene expression omnibus: microarray data storage, submission, retrieval, and analysis.Methods Enzymol. 2006;411:352-69. doi: 10.1016/S0076-6879(06)11019-8. Methods Enzymol. 2006. PMID: 16939800 Free PMC article. Review.
Cited by
-
Unveiling prognostics biomarkers of tyrosine metabolism reprogramming in liver cancer by cross-platform gene expression analyses.PLoS One. 2020 Jun 15;15(6):e0229276. doi: 10.1371/journal.pone.0229276. eCollection 2020. PLoS One. 2020. PMID: 32542016 Free PMC article.
-
Identification of VWF as a Novel Biomarker in Lung Adenocarcinoma by Comprehensive Analysis.Front Oncol. 2021 Apr 22;11:639600. doi: 10.3389/fonc.2021.639600. eCollection 2021. Front Oncol. 2021. PMID: 33968738 Free PMC article.
-
Integrated identification of key immune related genes and patterns of immune infiltration in calcified aortic valvular disease: A network based meta-analysis.Front Genet. 2022 Sep 21;13:971808. doi: 10.3389/fgene.2022.971808. eCollection 2022. Front Genet. 2022. PMID: 36212153 Free PMC article.
-
Weighted gene coexpression network analysis and machine learning for the determination of tfh cell and B cell infiltrating biomarkers in thymoma-associated myasthenia gravis.Heliyon. 2024 Jul 10;10(14):e34364. doi: 10.1016/j.heliyon.2024.e34364. eCollection 2024 Jul 30. Heliyon. 2024. PMID: 39108902 Free PMC article.
-
Multidimensional Transcriptomics Unveils RNF34 as a Prognostic Biomarker and Potential Indicator of Chemotherapy Sensitivity in Wilms' Tumour.Mol Biotechnol. 2024 May;66(5):1132-1143. doi: 10.1007/s12033-023-01008-2. Epub 2024 Jan 9. Mol Biotechnol. 2024. PMID: 38195816
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Molecular Biology Databases
Miscellaneous