Skip to content
master
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
src
 
 
 
 
 
 
 
 
 
 

README.md

CellMissy

logo


Project Description

CellMissy is a cross-platform data management system for cell migration/invasion data that simplifies and fully automates data management, storage and analysis, from experimental set-up to data visualization and exploration. CellMissy is a client-server application with a graphical user interface on the client, and a relational database in the back-end to store the data. The client application is composed of three modules that cover the different functions of CellMissy: the Experiment Manager, the Data Loader and the Data Analyzer. On top of these modules, CellMissy provides tools for import/export of full experiments and templates.

Citation

CellMissy is described in “CellMissy: a tool for management, storage and analysis of cell migration data produced in wound healing-like assays.” (P. Masuzzo, N. Hulstaert, L. Huyck, C. Ampe, M. Van Troys and L. Martens, PMID: 23918247)

The single-cell analysis is presented in “An end-to-end software solution for the analysis of high-throughput single-cell migration data.” (P. Masuzzo, L. Huyck, A. Simiczyjew, C. Ampe, L. Martens, and M. Van Troys, PMID: 28205527)

The dose-response capabilites are presented in “DoRes within CellMissy: dose-response analysis on cell migration and related data.” (G. Sergeant, L. Martens, M. Van Troys and P. Masuzzo, PMID: 30052834)

Go to top of page


News

November 2018: CellMissy 1.3.0 is now compatible with CMSO standards (add link to publication). New features are the possibilities to 1) export an existing experiment to ISA-Tab (experimental metadata) and biotracks files (cell track data); and 2) to import a CMSO compliant dataset and (re-)analyse its cell track data.

January 2018: CellMissy 1.2.0 adds the DoRes module, which enables dose-response analyses for collective migration experiments as well as generic dose-response datasets!

June 2016: CellMissy 1.1.0 is now available! Single-cell migration analysis implemented! Look at how to import single-cell migration data into CellMissy here.

November 30, 2013: CellMissy 1.0.4 is now available!

CellMissy: DB schema has been modified to take into account users privileges in relation to projects and experiments. Download the new SQL script to create your CellMissy DB (see more in the downloads section).

Downloads

We are constantly thriving to make CellMissy the best it can be. As a result, minor versions may be released without announcing a download link. Please find the most recent release here.

Download CellMissy 1.3.0 here.

Download CellMissy 1.2.0 here.

Download CellMissy 1.1.0 and 1.0.4 here.

Supportive Files

Go to top of page


Usage

See the manual for further information on how to use the tool. This manual version of CellMissy v1.4.0 explains how to start using CellMissy, and focuses on all steps of the area, single-cell migration and dose-response analysis.

Go to top of page


Project Support

The CellMissy project is grateful for the support by:

Compomics VIB Ghent University
compomics vib ugent

Go to top of page


IntelliJ Netbeans Java Maven
intellij netbeans java maven

Go to top of page

You can’t perform that action at this time.