Release Notes

Tapestri Insights v2.1

  • Include subclone information in exported data
  • Exportable filter histograms
  • Summary report (pdf & html)
  • User customizable subclone colors
  • Performance enhancements & Bug fixes

Tapestri Insights v2.0

  • UI redesign to make analysis more intuitive
  • Support for non-human genomes
  • Supports designer target file as whitelist if all targets are regions
  • Performance improvements and bug fixes

Tapestri Insights v1.6.4

  • Bug fixes

Tapestri Insights v1.6.2

  • Bug fixes

Tapestri Insights v1.6.1

  • Bug fixes

Tapestri Insights v1.6.0

  • Addition of new visualizes:
    • Insightful visualizations of variants across samples and subclones
    • (Beta) Heatmap for visualization of many variants across subclones
    • (Beta) Fish plot for visualization of subclones over time
  • Analysis results will be identical to Tapestri Insights v1.4.2
  • Annotation cache
  • Loading & Filtering speedup
  • Update checking can be turned off in preferences

Tapestri Insights v1.4.3

  • Maintenance release with minor bug fixes and user interface improvements
  • Analysis results will be identical to Tapestri Insights v1.4.2

Tapestri Insights v1.4.2

  • Multi-sample support – Track subclones across samples, even when variants/subclones are not present in some samples
    • VCF and LOOM files now contain records for all sites
      • VCF and LOOM files significantly larger due to the addition of all sites
    • Existing LOOM files are still compatible, but for multi-sample analysis rerunning analysis is required
  • Improved variant annotations – New annotation service enable access to over 30 public genomic databases to quickly identify relevant variants
  • Ability to export filtered cells and variants data to CSV or loom files enables additional analysis outside of Tapestri Insights

 

Tapestri Insights v1.0.2

  • The first release!
  • Load your single cell DNA data
  • Search and select relevant variants
  • Explore subclones
    • Co-occurrence of mutations
    • Rare populations
  • Save and share analysis
    • Save analysis as .TAP file for sharing and record keeping
    • Export tables and figures