GOAtools

[…] degs. a twofold difference in expression levels was set as the threshold for the determination of the significant changes. go functional enrichment and kegg pathway analysis were carried out with goatools (https://github.com/tanghaibao/goatools) and kobas (http://kobas.cbi.pku.edu.cn/home. do). all rna‐seq data were available in data s2 online., all experiments were repeated three times […]

[…] levels was set as the threshold for the determination of the significant changes. go functional enrichment and kegg pathway analysis were carried out with goatools (https://github.com/tanghaibao/goatools) and kobas (http://kobas.cbi.pku.edu.cn/home. do). all rna‐seq data were available in data s2 online., all experiments were repeated three times independently, and all results […]

[…] expressed were further analyzed, as described in the results section. differentially expressed genes were classified according to their gene ontology (go; http://www.geneontology.org/), using goatools (https://github.com/tanghaibao/goatools). cellular pathway association was analyzed according to the kyoto encyclopedia of genes and genomes (kegg) database (http://www.genome.jp/kegg/) […]

[…] as described in the results section. differentially expressed genes were classified according to their gene ontology (go; http://www.geneontology.org/), using goatools (https://github.com/tanghaibao/goatools). cellular pathway association was analyzed according to the kyoto encyclopedia of genes and genomes (kegg) database (http://www.genome.jp/kegg/) using the kegg orthology based annotation […]

[…] using the cuffdiff module of the cufflinks package. the sequences were further annotated using the go and kegg databases. we categorized gene function with an emphasis on biochemical pathways. goatools was used for go enrichment analysis. kobas was used for kegg pathway enrichment analysis (xie et al. 2011) (example is shown in supplementary fig. 5). figure 2 , rna was extracted […]