ExAtlas: An interactive online tool for meta-analysis of gene expression data
We have developed ExAtlas, an on-line software tool for meta-analysis and visualization of gene expression data. In contrast to existing software tools, ExAtlas compares multi-component data sets and generates results for all combinations (e.g. all gene expression profiles versus all Gene Ontology a...
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| Vydáno v: | Journal of bioinformatics and computational biology Ročník 13; číslo 6; s. 1550019 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Singapore
01.12.2015
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| ISSN: | 1757-6334 |
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| Abstract | We have developed ExAtlas, an on-line software tool for meta-analysis and visualization of gene expression data. In contrast to existing software tools, ExAtlas compares multi-component data sets and generates results for all combinations (e.g. all gene expression profiles versus all Gene Ontology annotations). ExAtlas handles both users' own data and data extracted semi-automatically from the public repository (GEO/NCBI database). ExAtlas provides a variety of tools for meta-analyses: (1) standard meta-analysis (fixed effects, random effects, z-score, and Fisher's methods); (2) analyses of global correlations between gene expression data sets; (3) gene set enrichment; (4) gene set overlap; (5) gene association by expression profile; (6) gene specificity; and (7) statistical analysis (ANOVA, pairwise comparison, and PCA). ExAtlas produces graphical outputs, including heatmaps, scatter-plots, bar-charts, and three-dimensional images. Some of the most widely used public data sets (e.g. GNF/BioGPS, Gene Ontology, KEGG, GAD phenotypes, BrainScan, ENCODE ChIP-seq, and protein-protein interaction) are pre-loaded and can be used for functional annotations. |
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| AbstractList | We have developed ExAtlas, an on-line software tool for meta-analysis and visualization of gene expression data. In contrast to existing software tools, ExAtlas compares multi-component data sets and generates results for all combinations (e.g. all gene expression profiles versus all Gene Ontology annotations). ExAtlas handles both users' own data and data extracted semi-automatically from the public repository (GEO/NCBI database). ExAtlas provides a variety of tools for meta-analyses: (1) standard meta-analysis (fixed effects, random effects, z-score, and Fisher's methods); (2) analyses of global correlations between gene expression data sets; (3) gene set enrichment; (4) gene set overlap; (5) gene association by expression profile; (6) gene specificity; and (7) statistical analysis (ANOVA, pairwise comparison, and PCA). ExAtlas produces graphical outputs, including heatmaps, scatter-plots, bar-charts, and three-dimensional images. Some of the most widely used public data sets (e.g. GNF/BioGPS, Gene Ontology, KEGG, GAD phenotypes, BrainScan, ENCODE ChIP-seq, and protein-protein interaction) are pre-loaded and can be used for functional annotations. |
| Author | Sharov, Alexei A Ko, Minoru S H Schlessinger, David |
| Author_xml | – sequence: 1 givenname: Alexei A surname: Sharov fullname: Sharov, Alexei A organization: Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA – sequence: 2 givenname: David surname: Schlessinger fullname: Schlessinger, David organization: Laboratory of Genetics, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA – sequence: 3 givenname: Minoru S H surname: Ko fullname: Ko, Minoru S H organization: † Department of Systems Medicine, The Sakaguchi Laboratory, Keio University School of Medicine, Tokyo 160-8582, Japan |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/26223199$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | Analysis of Variance Computational Biology - methods Databases, Genetic Gene Expression Profiling Gene Ontology Imaging, Three-Dimensional Internet Meta-Analysis as Topic Software Workflow |
| Title | ExAtlas: An interactive online tool for meta-analysis of gene expression data |
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