# News

## ColocBoost on the media

- April 20, 2025: Manuscript describing ColocBoost methods with applications is posted on medRxiv.
- May 2, 2025: `colocboost` R package is available on CRAN.

## Software updates

- `v1.0.9` Improvements to summary-statistics workflows, trait-specific result filtering, and computational efficiency.
  - Added `X_ref` support as a memory-efficient alternative to precomputed LD matrices for large summary-statistics analyses.
  - Added `get_robust_ucos` to recalibrate and summarize robust trait-specific, uncolocalized events.
  - Improved computational efficiency for repeated matrix products in large reference-panel workflows.
  - Improved plotting robustness for extreme association signals and coefficient or z-score displays.
  - Minor robustness fixes for summary-statistics analyses with reference-panel or LD-free inputs.
- `v1.0.7` Improvements to ColocBoost (check out the full details in PR and PR).
  - Enhanced `colocboost` main function with post-filtering and only keep the robust colocalization events.
  - Enhanced `colocboost_plot` function with flexible highlighting options and new visualization styles.
  - Optimized performance and computational efficiency
  - Improved documentation and examples for the wrapper pipeline
  - Minor bug fixes for increased stability
- `v1.0.6` Memory optimization and visualization improvements with bug fixes CRAN.
  - Optimized LD-free version to reduce memory usage by eliminating large identity LD matrix generation
  - Enhanced `colocboost_plot` function with improved horizontal and vertical spacing labels
  - Resolved minor bugs for improved stability For detailed changelog, see PR.
- `v1.0.4` Initial public stable release on CRAN. Due to the file size limitation of CRAN release, all example data are the subset of the simulated data. See full dataset in colocboost paper repo.
- `v1.0.0` Initial public release. Pre-release versions `0.1.*` for reproducing our earlier work, including the first version of manuscript on medRxiv, are still available on GitHub.