TY - JOUR AU - Muchmore, B AU - Alarcón-Riquelme, M E PY - 2017 DO - 10.1093/bioinformatics/btw707 UR - http://hdl.handle.net/10668/10698 T2 - Bioinformatics (Oxford, England) AB - Here we present open-source software for the analysis of high-dimensional cytometry data using state of the art algorithms. Importantly, use of the software requires no programming ability, and output files can either be interrogated directly in CymeR... LA - en KW - Algorithms KW - Computational Biology KW - Flow Cytometry KW - Software TI - CymeR: cytometry analysis using KNIME, docker and R. TY - research article VL - 33 ER -