flowLearn statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.


Citations per year

Citations chart

Popular tool citations

chevron_left Automated gating Quality control chevron_right
Popular tools chart

Tool usage distribution map

Tool usage distribution map

Associated diseases

Associated diseases

flowLearn specifications


Unique identifier OMICS_27222
Name flowLearn
Software type Package/Module
Interface Command line interface
Restrictions to use Academic or non-commercial use
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
Computer skills Advanced
Version 0.99.11
Stability Stable
Maintained Yes



Add your version


  • person_outline Markus Lux <>
  • person_outline Barbara Hammer <>

Publication for flowLearn

flowLearn institution(s)
Computational Methods for the Analysis of the Diversity and Dynamics of Genomes, Bielefeld University, Bielefeld, Germany; Terry Fox Laboratory, BC Cancer Research Centre, BC, Canada; Department of Medical Genetics, University of British Columbia, BC, Canada; Cytapex Bioinformatics Inc., BC, Canada; Department of Mathematics, Simon Fraser University, BC, Canada; Department of Immunobiology, King’s College London, UK; CITEC centre of excellence, Bielefeld, Germany
flowLearn funding source(s)
Supported by the German-Canadian DFG international research training group “Computational Methods for the Analysis of the Diversity and Dynamics of Genomes” (DiDy) GRK 1906/1, NSERC and Genome Canada [252FLO_Brinkman], the National Institute Of Allergy And Infectious Diseases of the National Institutes of Health (NIH 1R01GM118417-01A1) under an Infrastructure and Opportunity Fund Award linked to Human Immunology Project Consortium Award Number [U19AI118608].

flowLearn reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review flowLearn