2.6. Single enrichment and gene set enrichment analysis

NM Nuria de María
MG María Ángeles Guevara
PP Pedro Perdiguero
MV María Dolores Vélez
JC José Antonio Cabezas
ML Miriam López‐Hinojosa
ZL Zhen Li
LD Luís Manuel Díaz
AP Alberto Pizarro
JM José Antonio Mancha
LS Lieven Sterck
DS David Sánchez‐Gómez
CM Célia Miguel
CC Carmen Collada
MD María Carmen Díaz‐Sala
MC María Teresa Cervera
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Blast2GO results, including GO term annotation and KEGG pathway information, were used for functional analysis of differentially expressed genes. GO term enrichment was highlighted for every analysis (drought stress response as well as constitutive accumulation) by comparison between functionalities identified in genes significantly upregulated and downregulated. GO term enrichment was analyzed by using FatiGO (Al‐Shahrour et al., 2007) implemented in the OmicsBox software. Significant enrichment of GO terms was considered for p‐values <.05. Venn diagrams were drawn using Venny 2.1 (Oliveros, 2015). KEGG pathway enrichment analysis was carried out using GSEA software (Subramanian et al., 2005). All genes preranked according to Kal's statistics were included in order to analyze every comparison as a global system. Analyses were run with 1,000 permutations of gene sets. Pathways with p‐values <.05 were considered positively or negatively correlated.

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