GO functional analysis is a useful method for annotating genes and identifying characteristic biological attributes from high-throughput genome or transcriptome data 21. KEGG incorporates a wide range of databases, including those on genomes, biological pathways, diseases, drugs and chemical substances 22. The Database for Annotation, Visualization and Integrated Discovery, an online bioinformatics database 23, was used for the GO functional analysis and KEGG pathway enrichment analysis, with FDR<0.05 as the cut-off criterion.
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