The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
GEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor
Open accessAbstract
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. Contact: sdavis2@mail.nih.gov
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Cites
limma: Linear Models for Microarray Data
Smyth, G. K. (2005) · Statistics for Biology and Health · doi:10.1007/0-387-29362-0_23 · Cited by 5,796
Research works printed but not linked: 3
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- R Development Core Team, 2005, R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing
Cited by
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Barrett, T., Wilhite, S. E., Ledoux, P., Evangelista, C., Kim, I. F., Tomashevsky, M., Marshall, K. A., Phillippy, K. H., Sherman, P. M., Holko, M., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1193 · Cited by 10,418
Self-citationFinotello, F., Mayer, C., Plattner, C., Laschober, G., Rieder, D., Hackl, H., Krogsdam, A., Loncova, Z., Posch, W., Wilflingseder, D., et al. (2019) · Genome Medicine · doi:10.1186/s13073-019-0638-6 · Cited by 1,542
Cysteine depletion induces pancreatic tumor ferroptosis in mice
Badgley, M. A., Kremer, D. M., Maurer, H. C., DelGiorno, K. E., Lee, H.-J., Purohit, V., Sagalovskiy, I. R., Ma, A., Kapilian, J., Firl, C. E. M., et al. (2020) · Science · doi:10.1126/science.aaw9872 · Cited by 1,294
Massive mining of publicly available RNA-seq data from human and mouse
Lachmann, A., Torre, D., Keenan, A. B., Jagodnik, K. M., Lee, H. J., Wang, L., Silverstein, M. C., & Ma’ayan, A. (2018) · Nature Communications · doi:10.1038/s41467-018-03751-6 · Cited by 701
Peripheral T cell expansion predicts tumour infiltration and clinical response
Wu, T. D., Madireddi, S., de Almeida, P. E., Banchereau, R., Chen, Y.-J. J., Chitre, A. S., Chiang, E. Y., Iftikhar, H., O’Gorman, W. E., Au-Yeung, A., et al. (2020) · Nature · doi:10.1038/s41586-020-2056-8 · Cited by 770
Metadata
- Authors
- Davis, S., & Meltzer, P. S.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-05-12
- Volume
- 23
- Issue
- 14
- Pages
- 1846-1847
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2100239923
- Cited by
- 3,303
- References
- 1
- FWCI
- 3.71
- Type
- journal article
- Language
- en
- Open access
- bronze
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