2019
DOI: 10.1186/s12859-019-2671-2
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CirGO: an alternative circular way of visualising gene ontology terms

Abstract: Background Prioritisation of gene ontology terms from differential gene expression analyses in a two-dimensional format remains a challenge with exponentially growing data volumes. Typically, gene ontology terms are represented as tree-maps that enclose all data into defined space. However, large datasets make this type of visualisation appear cluttered and busy, and often not informative as some labels are omitted due space limits, especially when published in two-dimensional (2D) figures. … Show more

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Cited by 105 publications
(90 citation statements)
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“… Metabolite profiling revealed alterations in the citric acid cycle that normalizes with age. Proteomic analyses of samples from 10‐ and 30‐week‐old Mrps12 +/+ and Mrps12 ep / ep mice revealed an enrichment in proteins that are involved in citric acid cycle‐related biological processes, by gene ontology analyses. Detailed CirGO graphs (Kuznetsova et al , ) of enriched biological processes are provided in Appendix Figures S1 and S2. Respiratory chain subunit proteins and citric acid cycle enzymes that were altered in abundance are labeled in green and black, respectively, within a heatmap of all significantly altered proteins within the proteomic dataset. Data information: In (A), data are presented as box plots of the fold change ( x ‐axis) of metabolites; horizontal middle lines represent the mean, and the box ranges are the upper and lower quartiles, with the whiskers showing the highest and lowest observations of results obtained from five to six mice from each genotype. Only metabolites whose abundance was significantly changed between Mrps12 +/+ and Mrps12 ep / ep mice, after Benjamini–Hochberg correction (FDR 0.01), are graphed.…”
Section: Resultsmentioning
confidence: 99%
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“… Metabolite profiling revealed alterations in the citric acid cycle that normalizes with age. Proteomic analyses of samples from 10‐ and 30‐week‐old Mrps12 +/+ and Mrps12 ep / ep mice revealed an enrichment in proteins that are involved in citric acid cycle‐related biological processes, by gene ontology analyses. Detailed CirGO graphs (Kuznetsova et al , ) of enriched biological processes are provided in Appendix Figures S1 and S2. Respiratory chain subunit proteins and citric acid cycle enzymes that were altered in abundance are labeled in green and black, respectively, within a heatmap of all significantly altered proteins within the proteomic dataset. Data information: In (A), data are presented as box plots of the fold change ( x ‐axis) of metabolites; horizontal middle lines represent the mean, and the box ranges are the upper and lower quartiles, with the whiskers showing the highest and lowest observations of results obtained from five to six mice from each genotype. Only metabolites whose abundance was significantly changed between Mrps12 +/+ and Mrps12 ep / ep mice, after Benjamini–Hochberg correction (FDR 0.01), are graphed.…”
Section: Resultsmentioning
confidence: 99%
“…The data were normalized to 18S rRNA. Mitochondrial DNA (mtDNA) was measured using quantitative PCR, and values were normalized to the β‐2‐microglobulin ( B2m ) gene. Proteomic analyses of samples from 30‐week‐old Mrps12 +/+ and Mrps12 ha / ha mice revealed an enrichment in proteins with significantly changed levels that are involved in cardiac and mitochondrial metabolic processes, by gene ontology analyses. Detailed CirGO graphs (Kuznetsova et al , ) of enriched biological processes are provided in Appendix Figure S3. Respiratory chain subunit proteins that were significantly changed in abundance are labeled in green within a heatmap of all significantly altered proteins within the proteomic dataset. Data information: In (A), autoradiographs and stained gels are representative of results obtained from six mice from each genotype. In (B, C), data are presented as mean ± SD of results obtained from five to six mice from each genotype.…”
Section: Resultsmentioning
confidence: 99%
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“…The tissue-specific expression profiles and intra-individual variations in the functional content of polymorphic sites were statistically tested using the WEGO v2.0 online tool [59] and visualised using a combination of the REVIGO online server [60] and CirGO [61]. The signal of pervasive selection (the ratio of non-synonymous to synonymous amino acid substitution, dN/dS ratio) in one particular liver transcript with an exceptionally high number of polymorphic sites was tested using a fixed-effects likelihood model [62] implemented in the online server Datamonkey [63].…”
Section: Transcriptome Assembly Variant Calling and Functional Annotmentioning
confidence: 99%
“…Semantic similarity measure to use: SimRel. Next, CirGO [134] was used to plot a concise version of the GO analysis.…”
Section: Gene Ontology and Pathways Analysismentioning
confidence: 99%