@CytoExploreR is an R package developed by @DillonHammill for interactive cytometry data analysis.

Joined February 2020
15 Photos and videos
Version 1.1.0 of @CytoExploreR is now available for download. This update doesn't include any major changes, but instead provides some important bug fixes. All users should install this update, which doesn't require any updates to cytoverse dependencies. dillonhammill.github.io/Cyto…

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Ever wished you could could know where your population was BEFORE gating? Now cyto_plot can colour points based on expression of a third parameter. Look how easy it to locate the CD8 T Cells in this ungated data! Gating will never be the same! #openscience #cytometry
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Time to reward those who take the time to appropriately label their samples. cyto_names_parse() will split filenames by a delimiter and add these as experimental variables in cyto_details(). You can also do this automatically in cyto_setup by setting parse = TRUE. #openscience
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Here is how to do this in cyto_setup, either set parse_names = TRUE or supply the delimiter.
Did you know that now you can import cytometry data analyzed on other platforms into @CytoExploreR using the CytoML package? See the website to find out how: rglab.github.io/CytoML/. Once imported you can create a @CytoExploreR gatingTemplate using cyto_gatingTemplate_generate().

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Not only that, but it is immediately obvious where our dead cells are located! We can validate this by colouring the points based on uptake of our live dead dye (red). This forward gating approach will save you a lot of time!
Version 1.0.8 is available now! This is a major update that includes important bug fixes, speed improvements and new features. Docker images will be available soon. Check out the changelog for more details: dillonhammill.github.io/Cyto… #openscience #cytometry

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Version 1.0.7 is out now! FIt-SNE has been updated to version 1.2.1 to use PCA initialization by default. Versioned docker images are now available and FIt-SNE comes pre-configured! cyto_map() demo has been posted on GitHub: github.com/DillonHammill/Cyt… #cytometry #openscience
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Version 1.0.6 is out now! This update brings improvements to customizing plot layouts and margins. It is now easy to create complex multiplot layouts in @CytoExploreR! Feature demo available at github.com/DillonHammill/Cyt… #cytometry #openscience
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@CytoExploreR now has support for more sophisticated plot layouts! See demonstration here: github.com/DillonHammill/Cyt… #cytometry #openscience
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Time to bring Excel-like data editing features to CytoExploreR! Version 1.0.5 is out now. All data menus and editors have been updated to simplify the user experience and ease the transition from GUI-oriented software. #cytometry #openscience
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Docker image for version 1.0.5 will be available soon.
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CytoExploreR v1.0.4 is out now. A couple of bug fixes. A #docker image of CytoExploreR is now available! Now you can run CytoExploreR locally in a web browser without having to install anything! Gating is also now supported in the RStudio graphics device. #openscience #cytometry
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Did you know that manual gating is fully supported in @CytoExloreR? All of your favourite gate types are supported, including rectangles, ellipses, polygons and quadrants. It has never been easier to draw gates around populations! #openscience #cytometry
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