Summary
clover consumes tRNAs-in-space global coordinate files via read_sprinzl_coords(), but we're missing human Sprinzl coordinates despite already bundling human structure SVGs and human MODOMICS data.
Current state
| Data type |
E. coli |
S. cerevisiae |
H. sapiens |
Others |
| Sprinzl coords |
yes |
yes (nuclear + mito) |
no |
no |
| Structure SVGs |
yes (39) |
yes |
yes |
no |
| MODOMICS |
yes |
yes |
yes |
+ mouse, fly, worm |
| Identity elements |
yes |
yes |
partial |
no |
tRNAs-in-space now provides H. sapiens coordinates (416 nuclear + 22 mitochondrial tRNAs), which would complete organism support and unlock heatmap/landscape plots for human tRNAs.
Tasks
Near-term
Longer-term
Summary
clover consumes tRNAs-in-space global coordinate files via
read_sprinzl_coords(), but we're missing human Sprinzl coordinates despite already bundling human structure SVGs and human MODOMICS data.Current state
tRNAs-in-space now provides H. sapiens coordinates (416 nuclear + 22 mitochondrial tRNAs), which would complete organism support and unlock heatmap/landscape plots for human tRNAs.
Tasks
Near-term
inst/extdata/sprinzl/)modomics_mods()pairwise alignment output against tRNAs-in-space pre-mapped MODOMICS annotationsLonger-term
trna_regions()hardcodes region boundaries for standard Type I tRNAs; heatmaps and landscape plots may not handle the extended variable arm positions correctlytrnas_in_space.py) so users can generate coordinates for organisms beyond the bundled set