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Fig. 6 in Biosynthesis and tissue-specific partitioning of camphor and eugenol in Ocimum kilimandscharicum

Fig. 6. Gene co-expression analysis. A whole genome co-expression network was constructed using our RNA-Seq data in CoExpNetViz to identify candidate genes putatively involved in eugenol biosynthesis and transportation. egs1 and 4cl4 were used as the bait genes (indicated using red font on the heat map representing digital gene expression of genes involved in phenylpropanoid pathway across different tissues). For heatmap analysis, the color scale for fold-change values is shown. The network was filtered to hold correlations with r-value cut-off corresponding to the top 95th percentile and bottom 5th percentile of all correlations measured (rvalue> 0.8 and r-value <−0.2, Pearson correlation coefficient). Red edges indicate negative correlation while green edges indicate positive correlation between genes. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
12
Reuse readiness
8
Engagement
0

Topics

Dataset details

Repository
zenodo
Published
September 29, 2020
License
notspecified
DOI
10.5281/zenodo.8295946

Scored with release 0.9.0

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