plotly / plotly/plotly.R

Feature suggestion, integration with gggenes

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Description

Hey folks,

First of all, thank you so much for the library!

This is rather a feature suggestion than an issue, I wonder if you could implement wrappers to integrate gggenes library (https://wilkox.org/gggenes/) with plotly. I really need an interactive versions of genome annotation graphs.


Code I used.

p <- ggplot(phage_genes, aes(xmin = start, xmax = end, y = molecule)) +
  facet_wrap(~ molecule, scales = "free", ncol = 1) +
  geom_gene_arrow(fill = "grey") +
  geom_subgene_arrow(data = phage_annotations,
                     aes(xmin = start, xmax = end, y = molecule, fill = subgene,
                         xsubmin = from, xsubmax = to), color="black", alpha=.7) +
  labs(y='Genome ID', fill='Annotation ID', color=" ", shape=" ")+
  theme_genes() 

ggplotly(p)

Currently, it returns these errors:

  https://github.com/ropensci/plotly/issuesWarning: geom_GeomSubgeneArrow() has yet to be implemented in plotly.
  If you'd like to see this geom implemented,
  Please open an issue with your example code at

  https://github.com/ropensci/plotly/issuesWarning: geom_GeomGeneArrow() has yet to be implemented in plotly.
  If you'd like to see this geom implemented,
  Please open an issue with your example code at
  https://github.com/ropensci/plotly/issuesWarning

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the supplied R example using gggenes and ggplotly, focusing on geom_GeneArrow and geom_SubgeneArrow. Trace how existing ggplot geoms are handled in plotly.R. Done means the example produces an interactive genome annotation graph without either unimplemented-geom warning.

Written by the indexing model from the issue text.

Assessment

Tech stack
r
Domain
data-visualization
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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