Thomas Hackl

Just ran into the same issue, also with `fct_lump_n()`. To me, this feels quite counterintuitive even if it were documented... ``` r library(forcats) fct_lump_n(c("a","a","c"), n=1) #> [1] a a c...

Hi Ola, thanks a lot for getting back to me on that. My primary data set is a collection of both, some complete isolates but mostly incomplete single cell genomes,...

I cannot recreate your error on my system (see below). Can you install the latest version of gggenomes? And what OS are you on? Could you send me the output...

Thanks for the info. I haven't enough time to take the package out on Windows...

Hm, I'm not sure. Have the feeling this could be tricky...

No, not at the moment. But it's something that I also think would be nice to have. Not sure though, if I'll have the time to implement it...

Note to self: could probably use `ggsankey::sigmoid()` function to "smooth" `geom_link()` polygons. ``` r sigmoid

Fancy! Good question. What kind of scale do you mean? A complete axis, or a small scale bar with fixed size for comparison. Maybe akin to #85 geom_scale_bar but on...

Here's a solution, although granted, not the prettiest ... ``` p1 add_clusters(emale_cogs) + geom_seq() + geom_gene() # default plot with first genome at y==1 p1 + theme_bw() ```  ```...

Definitely good ideas! Challenge accepted ;) I'm still playing around with some ideas. Would be curious about your thoughts on the following: ``` r gggenomes(emale_genes, emale_seqs) %>% focus(name=="MCP") + geom_seq()...