CytoSPADE: high-performance analysis and visualization of high-dimensional cytometry data

Bioinformatics. 2012 Sep 15;28(18):2400-1. doi: 10.1093/bioinformatics/bts425. Epub 2012 Jul 10.

Abstract

Motivation: Recent advances in flow cytometry enable simultaneous single-cell measurement of 30+ surface and intracellular proteins. CytoSPADE is a high-performance implementation of an interface for the Spanning-tree Progression Analysis of Density-normalized Events algorithm for tree-based analysis and visualization of this high-dimensional cytometry data.

Availability: Source code and binaries are freely available at http://cytospade.org and via Bioconductor version 2.10 onwards for Linux, OSX and Windows. CytoSPADE is implemented in R, C++ and Java.

Contact: [email protected]

Supplementary information: Additional documentation available at http://cytospade.org.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Computer Graphics
  • Flow Cytometry / methods*
  • Software*