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conda create -n kegganog python=3.6
conda activate kegganog
pip install kegganog
As the demo data for this usage guide eggNOG-mapper
output of Lpb. plantarum IS-10506 is used
It is a probiotic from I am better than I look: genome based safety assessment of the probiotic Lactiplantibacillus plantarum IS-10506 study
First, we download the data
Input
wget https://raw.githubusercontent.com/iliapopov17/KEGGaNOG/refs/heads/main/demo_data/out.emapper.annotations
Then we run KEGGaNOG
Input
KEGGaNOG -i out.emapper.annotations -o output
By the key --i
user must provide the input (eggNOG-mapper
output file)
By the key --o
user must provide the path to output directory (it will be created if it does not exist)
The resulted figure:

We can adjust the dpi of the resulted heatmap by using --dpi
key
300 dpi is used by default
Input
KEGGaNOG -i out.emapper.annotations -o output -dpi 600
The resulted figure:

We can adjust the sample name by using --n
key
It supports regular expressions, so to make some words in italics (like this: Lpb. plantarum IS-10506) please use $\it{Lpb. plantarum}$ IS-10506
'SAMPLE' is the default sample name
Input
KEGGaNOG -i out.emapper.annotations -o output -dpi 600 -n '$\it{Lpb. plantarum}$ IS-10506'
The resulted figure:
