Excited that @OzetteAI closed a $6M seed round with support from @MadronaVentures@allen_ai
and Vulcan Capital. We are bringing unprecedented high resolution #singlecell profiling, developed at #FredHutch with @raphg, to bear on cancer #immunotherapy
https://t.co/DOoZbe8g0E
Happy to announce experimental tiledb support for https://t.co/qigv00TDTU tools. See the tiledb branch of cytolib on GitHub. This means R's flow tools can access data remotely in the cloud (e.g. on S3). #rstats
Our new paper with @raphg serves as a prototype manuscript of the new Cytometry A's new manuscript format (https://t.co/fAZXruUkZt ) and describes how the #rstats package CytoML (https://t.co/0fBs7xa1Ps ) enables reproducible cytometry analysis and cross-platform data sharing.
Sharing tidy, standardized, reproducible data sets for publications and collaborations can be challenging. We wrote an R package, DataPackageR, to help with that. It's worked well for us, so we wrote it up. https://t.co/tLXgkaxoQP #rglab#raphg#rstats
Visualize #cytometry data using the grammar of graphics. Our paper describing the new ggcyto #rstats package is now live and #openaccess at #bioinformatics https://t.co/a1jLhyyRqs with @raphg, Mike Jiang and Phu Van.