2012
DOI: 10.1186/1471-2105-13-20
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graphite - a Bioconductor package to convert pathway topology to gene network

Abstract: BackgroundGene set analysis is moving towards considering pathway topology as a crucial feature. Pathway elements are complex entities such as protein complexes, gene family members and chemical compounds. The conversion of pathway topology to a gene/protein networks (where nodes are a simple element like a gene/protein) is a critical and challenging task that enables topology-based gene set analyses.Unfortunately, currently available R/Bioconductor packages provide pathway networks only from single databases.… Show more

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Cited by 182 publications
(173 citation statements)
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“…Genes with a q-value < 0.05 were considered significantly differentially expressed and were included in the downstream pathway analysis. Signaling Pathway Impact Analysis was conducted using the Bioconductor packages SPIA and Graphite, using the differentially expressed gene list and their log2 fold changes as input 34, 35 . Pathway databases included in the analysis include KEGG, Biocarta, NCI and Reactome.…”
Section: Methodsmentioning
confidence: 99%
“…Genes with a q-value < 0.05 were considered significantly differentially expressed and were included in the downstream pathway analysis. Signaling Pathway Impact Analysis was conducted using the Bioconductor packages SPIA and Graphite, using the differentially expressed gene list and their log2 fold changes as input 34, 35 . Pathway databases included in the analysis include KEGG, Biocarta, NCI and Reactome.…”
Section: Methodsmentioning
confidence: 99%
“…Pathway maps were obtained from the KEGG database (Kanehisa et al, 2014) and exported as R objects into the package graphite (Sales et al, 2012). For the GSA, fold-changes were used as gene-level statistics, and the mean was used as the geneset enrichment score.…”
Section: Gene-set Analysis (Gsa) Of Transcriptomics Datamentioning
confidence: 99%
“…into a graphical structure in which a node represents a simple element like a gene/protein (14). In fact, whereas pathway nodes might consist of multiple entities such as protein complexes, gene family members and chemical compounds, microarrays measure each single element of complexes and gene family separately.…”
Section: Methodsmentioning
confidence: 99%
“…In fact, whereas pathway nodes might consist of multiple entities such as protein complexes, gene family members and chemical compounds, microarrays measure each single element of complexes and gene family separately. Here, we used 14), a Bioconductor package addressing these issues. In general, takes pathway information from four different databases (Biocarta; KEGG, (15); NCI/Nature Pathway Interaction Database, (16); Reactome, (17)) and this information is interpreted and opportunely coded by following specific biologically driven rules.…”
Section: Methodsmentioning
confidence: 99%