SPADE 3.0 / CytoSPADE 2.2 – Cyto / Spanning tree Progression of Density normalized Events

SPADE 3.0 / CytoSPADE 2.2

:: DESCRIPTION

SPADE is a visualization and analysis tool for high-dimensional flow cytometry data. SPADE is implemented as an R package and can be installed via R’s packaging facilities.

CytoSPADE is an implementation of the Spanning-tree Progression of Density-normalized Events (SPADE) algorithm for visualizing high-dimensional flow cytometry data.

::DEVELOPER

Garry P. Nolan Laboratory Peng Qiu

:: SCREENSHOTS

SPADE1

:: REQUIREMENTS

  • Linux/ Windows/ MacOsX
  • R package / Java , Cytoscape

:: DOWNLOAD

 SPADE / CytoSPADE

:: MORE INFORMATION

Citation

Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE
Peng Qiu, Erin F Simonds, Sean C Bendall, Kenneth D Gibbs Jr, Robert V Bruggner, Michael D Linderman, Karen Sachs, Garry P Nolan & Sylvia K Plevritis
Nature Biotechnology 29, 886–891 (2011)

Linderman MD, Bjornson Z, Simonds EF, Qiu P, Bruggner R, Sheode K, Meng TH, Plevritis SK, Nolan GP.
CytoSPADE: High-Performance Analysis and Visualization of High-Dimensional Cytometry Data.
Bioinformatics. 2012 Sep 15;28(18):2400-1. doi: 10.1093/bioinformatics/bts425

CancerSPP – Webserver to Predict the Progression of Skin Cancer

CancerSPP

:: DESCRIPTION

CancerSPP is a web-bench for skin cutaneous melanoma (SKCM) progression prediction. It is established for the prediction and analysis of primary and metastatic tumor of SKCM using signature genes expression data (derived from RNA-seq, miRNA and methylation RSEM expression quantification values) . Further, prediction module is used to predict multiple states of metastatic samples from primary tumor samples. Analysis module allow the user to analyze RNA-seq expression profiles data in primary and metastatic states of SKCM.

::DEVELOPER

CancerSPP team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

  NO

:: MORE INFORMATION

Citation

Prediction and Analysis of Skin Cancer Progression using Genomics Profiles of Patients.
Bhalla S, Kaur H, Dhall A, Raghava GPS.
Sci Rep. 2019 Oct 31;9(1):15790. doi: 10.1038/s41598-019-52134-4.

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