Release v2.17.0
This release adds:
- Improved and bugfixed rendering of modified bases from BAM/CRAM files, particularly, it matches in many ways the IGV rendering of modified bases [^1]
- Improved performance for ultra-long reads from Nanopore, especially with zooming in and out and scrolling because it caches the mismatches instead of re-calculating them repeatedly [^2]
- Improved performance for wiggle tracks, multi-wiggle tracks, and SNP coverage tracks, particularly changing the height for these track types produces less re-rendering
- A new data adapter loading BLAST tabular -outfmt 6 alignments for the synteny view
- Fixed interpretation of the 'ts' tag from minimap2 for RNA-seq strandedness
- Improved bedMethyl support
figure showing updated modifications rendering, and bedMethyl as a "MultiQuantitativeTrack"
example of the BLAST tabular adapter, showing TBLASTX results
[^1] Importantly, JBrowse 2 now takes into account the ML tag (likelihood) to better report the results when tools are providing low probability modification likelihoods, especially for when there are multiple modification possibilities at each position (e.g. commonly outputted from Dorado which reported as 'm' and 'h' probabilities, we now only choose the highest likelihood for reporting, which is in line with interpretation from the MM/ML tag specification)
[^2] As part of this change, the internals of BAM/CRAM records have been changed. If you have code that was directly accessing any internal attributes of these records, it may not work anymore. Please use the feature.get('...') on features to get data of interest. The .get(...) method is the only "official" API for accessing data on feature objects, and contact us if you run into any problems!
2.17.0 (2024-11-18)
🚀 Enhancement
core
- Other
- #4649 Add support for displaying SNPs in "no_ref" CRAM files (@cmdcolin)
- #4627 Create BLAST tabular adapter (@garrettjstevens)
🐛 Bug Fix
- Other
core
🏠 Internal
Committers: 2
- Colin Diesh (@cmdcolin)
- Garrett Stevens (@garrettjstevens) Done in 1.81s.