yamada-lab / functree-ng Goto Github PK

The barchart display for KOs seems random for the modulecoverage series

Hi,

I am trying to use https://bioviz.tokyo/functree2/analysis/mapping/ with my data, but there was no results coming out. I don't know why. could you please help me have a look what's wrong? Here I attached my data and result page screenshot.

Thank you so much.

test.txt

Hi,
I find Functree2 very useful for my datasets but from last one-week webpage is not working,
whenever I upload something it says the page is not available or ajax error.
I am using this site https://bioviz.tokyo/functree2/
Please can you check what wrong with the page or something I need to try,
I will look forward to your response,
Thanks,
Khem

Add a legend to show the colors of each sample in the mapped barcharts.

I would like to display the KEGG annotations for strains on the functree KEGG dendrogram (I like it a lot). I get my KEGG annotations from KOfamKOALA (could be GhostKOALA). I can see how the data I get back from the KEGG mapper Pathway and Module (which show the KEGG annotations of my predicted proteins e.g for a genome) might be mapped to the input format for functree/functree-2 with a value based on the number of genes assigned to each KEGG category.
E.g.
KOALA data Functree input
Carbohydrate metabolism
00010 Glycolysis / Gluconeogenesis (18) --> n-map00010 tab v-0.0
K00134 HPA006_002788 n-K00134 tab v-1.0
K00138 HPA006_001058, HPA006_002801 n-K00138 tab v-2.0
K00163 HPA006_001900 n-K00163 tab v-1.0
K00174 HPA006_001700 n-K00174 tab v-1.0
K00175 HPA006_001701 etc.
But I can't see how to easily achieve that transformation - but neither do I understand, looking at the input data files for Streptomyces Mycobacteria and Ecoli how, or from what data, those values were calculated. My data input would look very different.
Is it possible to add more explanation on how to generate input data? And for me, how to input data for multiple strains as per your Streptomyces/Mycobacteri/Ecoli comparison.
Thanks

Everything above KO level is not mapped and an empty results is returned