Closed matthewwiese closed 1 year ago
Thanks for the clear steps to reproduce. This is a bug in handling genomes fetched directly from NCBI.
In addition to fixing this bug, I might also inline several genomes to improve load times. So specifying cassava or Manihot esculenta would automatically load the latest major genome assembly, M.esculenta_v8 (GCF_001659605.2).
Do you work with any other organisms where that would help? Also, would you mind if I asked in which organization you're using Ideogram.js?
Fixed, thanks again for the report. Any insight on where you're using this would help Ideogram!
Thanks so much for addressing this so quickly @eweitz!
I'm in Dr. Edward Buckler's lab at Cornell University. We haven't actually used Ideogram.js for anything yet - I've been looking into libraries that could be used inside Jupyter Notebooks to visualize chromosomes (which prompted #329). The interactivity afforded by a solution like Ideogram.js is particularly appealing.
Edit: And to answer your other question, I am currently working closely with cassava. However, the lab works with zea (particularly maize), tripsacum, sorghum, and many others.
I first noticed this when setting my
organism
to cassava; however, it is also observable in grape and green algae in the eukaryotes example. A demo gif: