FMKerckhof
commented
6 years ago Sure, but it really should have some major advantages over flowViz. Furthermore, ggplot2 is going to have some major updates soon, so I hope neither flowViz or ggCyto will break (more info, ask Joris Meys (see his twitter) and see https://github.com/tidyverse/ggplot2/blob/master/NEWS.md as well as https://www.tidyverse.org/articles/2018/05/ggplot2-2-3-0/) .
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Dr. ir. Frederiek-Maarten Kerckhof - Postdoc cmet Center for Microbial Ecology and Technology – Campus Coupure - Ghent University Coupure Links 653, room A2.074, 9000 Gent, Belgium (my officehttps://soleway.ugent.be/routes/1199) Phone: +32 (0)9 264 59 80 www.cmet.ugent.behttp://www.cmet.ugent.be/ – www.mrm.ugent.behttp://www.mrm.ugent.be/ – UGent e-mail disclaimerhttp://helpdesk.ugent.be/e-maildisclaimer.php
From: prubbens notifications@github.com Sent: dinsdag 5 juni 2018 10:23 To: rprops/Phenoflow_package Phenoflow_package@noreply.github.com Cc: Subscribed subscribed@noreply.github.com Subject: [rprops/Phenoflow_package] ggCyto: ggplot-style plotting for FCM data? (#62)
There's a new Bioconductor software package for FCM data online that specifically allows ggplot-style plotting specifically for flow cytometry specific data structures. Might be nice to look into?
Here's the paper: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/bty441/5026650
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There's a new Bioconductor software package for FCM data online that specifically allows ggplot-style plotting specifically for flow cytometry specific data structures. Might be nice to look into?
Here's the paper: https://academic.oup.com/bioinformatics/advance-article/doi/10.1093/bioinformatics/bty441/5026650