2008
DOI: 10.1093/nar/gkn923
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Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists

Abstract: Functional analysis of large gene lists, derived in most cases from emerging high-throughput genomic, proteomic and bioinformatics scanning approaches, is still a challenging and daunting task. The gene-annotation enrichment analysis is a promising high-throughput strategy that increases the likelihood for investigators to identify biological processes most pertinent to their study. Approximately 68 bioinformatics enrichment tools that are currently available in the community are collected in this survey. Tool… Show more

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Cited by 12,824 publications
(11,583 citation statements)
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References 91 publications
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“…To understand the basis of the segregation pattern, we performed pathway enrichment analysis using DAVID (Huang da, Sherman & Lempicki, 2009; Huang da, Sherman & Lempicki, 2009) on the genes with top 5% contribution to each PC (~300 genes each; Table S2, Figure S2e). In PC1, the top three functional clusters were ribosome/ribosomal proteins; ATP/nucleotide binding; and mitochondrial electron transport chain and oxidative phosphorylation (Table S2A).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To understand the basis of the segregation pattern, we performed pathway enrichment analysis using DAVID (Huang da, Sherman & Lempicki, 2009; Huang da, Sherman & Lempicki, 2009) on the genes with top 5% contribution to each PC (~300 genes each; Table S2, Figure S2e). In PC1, the top three functional clusters were ribosome/ribosomal proteins; ATP/nucleotide binding; and mitochondrial electron transport chain and oxidative phosphorylation (Table S2A).…”
Section: Resultsmentioning
confidence: 99%
“…To identify the underlying pathways, the genes in each of the first three principal components (PCs) were ranked by their contributions and pathway enrichment analysis was performed on the top 300 (about 5%) genes in each PC using DAVID (Huang da, Sherman & Lempicki, 2009; Huang da, Sherman & Lempicki, 2009) after correcting for background. To generate the heat map, the genes (columns) were ordered by contributions and the species (rows) were ordered by projection values.…”
Section: Methodsmentioning
confidence: 99%
“…(b) Analysis of cellular component GO terms. A functional enrichment analysis of the exosomal proteins was performed using DAVID [28,29]. Percentages of proteins relative to the total number of proteins in the category of GO terms are shown.…”
Section: Resultsmentioning
confidence: 99%
“…Digested samples were dissolved in 0.1% formic acid. DAVID (Database for Annotation, Visualization and Integrated Discovery) (version 6.8) was used to carry out a gene-term enrichment analysis against the Mus musculus gene list as background [28,29]. All p -values less than 10 –5 after Bonferroni correction were considered to be significant.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, the gene expression signatures were analyzed by the knowledge‐based annotation software, GenCLiP 2.0 27. In GenCLiP 2.0, P values were calculated by chi‐square test, and the enrichment of gene functions was further clustered based on related genes, which is similar to DAVID software 28. The heat map symbol provided a graphical view of gene‐term relationships.…”
Section: Methodsmentioning
confidence: 99%