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Releases: arpcard/card-live-dashboard

0.6.0

14 Jan 16:59
0.6.0
d1e9be1
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  • Added user-configurable plotly-based upset plot to display RGI category intersections (thanks @fmaguire)
  • Fixed small typos in card-live-dash-init script

0.5.0

02 Dec 01:04
0.5.0
05d8c41
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  • Added ability to download all data as a zip archive.
  • Added option to print version from commands.

0.4.0

07 Nov 23:06
0.4.0
b82fff2
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  • Adding GitHub Action to test project. Fixing some small issues in the process.
  • Support only for Python 3.7+ (this was always the case, but now it's documented/tested).
  • Adding additional space between y-axis labels and plots.
  • Display all y-axis labels for certain plots.
  • Added additional documentation to dashboard and updated title/favicon.
  • Transitions to mobile view for larger displays.

0.3.0

08 Oct 20:23
00dedb0
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  • Renamed scripts from cardlive-dash-X to card-live-dash-X.
  • Added configuration file [cardlive-home]/config/cardlive.yaml to specify a subpath to run the application.
  • Added a gunicorn config file [cardlive-home]/config/gunicorn.conf.py to contain all config for the production server.
  • Updated card-live-dash-prod script to allow start/status/stop commands.

0.2.0

01 Sep 03:10
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  • Mapping region Antarctica to N/A if the date is before 2020-07-20. This is because before that date CARD:Live defaulted to Antarctica (instead of no selected region) and so there were many results showing up as Antarctica when it was likely intended these should be N/A.
  • Changed organism selection. Now there is the option to select RGI Kmer or LMAT organism results and this will impact all the figures.
  • Post-processing of LMAT organism results to make sure they do not go below the rank of species.
  • Fixed bug in select by drug class causing multiple selections to miss some samples if drug classes were found on different contigs.
  • Renamed Besthit ARO to AMR gene.
  • Added plot for viewing drug class counts, AMR genes, AMR gene families, and Resistance Mechanism.
  • Added setup.py install script.
  • Added both percent and count plots for timeline.
  • Added the ability to select a custom date range.