COXPRESdb in 2015: coexpression database for animal species by DNA-microarray and RNAseq-based expression data with multiple quality assessment systems
- PMID: 25392420
- PMCID: PMC4383961
- DOI: 10.1093/nar/gku1163
COXPRESdb in 2015: coexpression database for animal species by DNA-microarray and RNAseq-based expression data with multiple quality assessment systems
Abstract
The COXPRESdb (http://coxpresdb.jp) provides gene coexpression relationships for animal species. Here, we report the updates of the database, mainly focusing on the following two points. For the first point, we added RNAseq-based gene coexpression data for three species (human, mouse and fly), and largely increased the number of microarray experiments to nine species. The increase of the number of expression data with multiple platforms could enhance the reliability of coexpression data. For the second point, we refined the data assessment procedures, for each coexpressed gene list and for the total performance of a platform. The assessment of coexpressed gene list now uses more reasonable P-values derived from platform-specific null distribution. These developments greatly reduced pseudo-predictions for directly associated genes, thus expanding the reliability of coexpression data to design new experiments and to discuss experimental results.
© The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.
Figures
Similar articles
-
COXPRESdb: a database of comparative gene coexpression networks of eleven species for mammals.Nucleic Acids Res. 2013 Jan;41(Database issue):D1014-20. doi: 10.1093/nar/gks1014. Epub 2012 Nov 29. Nucleic Acids Res. 2013. PMID: 23203868 Free PMC article.
-
COXPRESdb: a database to compare gene coexpression in seven model animals.Nucleic Acids Res. 2011 Jan;39(Database issue):D1016-22. doi: 10.1093/nar/gkq1147. Epub 2010 Nov 16. Nucleic Acids Res. 2011. PMID: 21081562 Free PMC article.
-
COXPRESdb: a database of coexpressed gene networks in mammals.Nucleic Acids Res. 2008 Jan;36(Database issue):D77-82. doi: 10.1093/nar/gkm840. Epub 2007 Oct 11. Nucleic Acids Res. 2008. PMID: 17932064 Free PMC article.
-
COXPRESdb v8: an animal gene coexpression database navigating from a global view to detailed investigations.Nucleic Acids Res. 2023 Jan 6;51(D1):D80-D87. doi: 10.1093/nar/gkac983. Nucleic Acids Res. 2023. PMID: 36350658 Free PMC article.
-
Microarray analysis of ethanol-induced changes in gene expression.Methods Mol Biol. 2008;447:395-410. doi: 10.1007/978-1-59745-242-7_26. Methods Mol Biol. 2008. PMID: 18369932 Review.
Cited by
-
Nucleolin acts as the receptor for C1QTNF4 and supports C1QTNF4-mediated innate immunity modulation.J Biol Chem. 2021 Jan-Jun;296:100513. doi: 10.1016/j.jbc.2021.100513. Epub 2021 Mar 4. J Biol Chem. 2021. PMID: 33676896 Free PMC article.
-
Multidimensional Proteomics Identifies Declines in Protein Homeostasis and Mitochondria as Early Signals for Normal Aging and Age-associated Disease in Drosophila.Mol Cell Proteomics. 2019 Oct;18(10):2078-2088. doi: 10.1074/mcp.RA119.001621. Epub 2019 Aug 21. Mol Cell Proteomics. 2019. PMID: 31434710 Free PMC article.
-
Principal Components Analysis Based Unsupervised Feature Extraction Applied to Gene Expression Analysis of Blood from Dengue Haemorrhagic Fever Patients.Sci Rep. 2017 Mar 9;7:44016. doi: 10.1038/srep44016. Sci Rep. 2017. PMID: 28276456 Free PMC article.
-
Systems Bioinformatics: increasing precision of computational diagnostics and therapeutics through network-based approaches.Brief Bioinform. 2019 May 21;20(3):806-824. doi: 10.1093/bib/bbx151. Brief Bioinform. 2019. PMID: 29186305 Free PMC article. Review.
-
Genic insights from integrated human proteomics in GeneCards.Database (Oxford). 2016 Apr 5;2016:baw030. doi: 10.1093/database/baw030. Print 2016. Database (Oxford). 2016. PMID: 27048349 Free PMC article.
References
-
- Aoki K., Ogata Y., Shibata D. Approaches for extracting practical information from gene co-expression networks in plant biology. Plant Cell Physiol. 2007;48:381–390. - PubMed
-
- Saito K., Hirai M.Y., Yonekura-Sakakibara K. Decoding genes with coexpression networks and metabolomics - ‘majority report by precogs'. Trends Plant Sci. 2008;13:36–43. - PubMed
-
- Usadel B., Obayashi T., Mutwil M., Giorgi F.M., Bassel G.W., Tanimoto M., Chow A., Steinhauser D., Persson S., Provart N.J. Co-expression tools for plant biology: opportunities for hypothesis generation and caveats. Plant Cell Environ. 2009;32:1633–1651. - PubMed
-
- Rung J., Brazma A. Reuse of public genome-wide gene expression data. Nat. Rev. Genet. 2013;14:89–99. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
