[an error occurred while processing this directive]


Murphy Lab

Home
Information
 People
 Addresses
 Cytometry Development Workshop
 FCS API

Research
 Projects
 Publications
 Software
 Presentations
 Flow Cytometry

Data
 Download

Affiliations
 Carnegie Mellon University
 Computational Biology Department
 Center for Bioimage Informatics
 Biological Sciences Department
 Biomedical Engineering Department
 Machine Learning Department
 MBIC


[an error occurred while processing this directive]


Internal

Information
 Lab FAQ
 Lab Research Topics

Services
 TypIX

Web Pages
 Web Page Template
 Visitation Statistics
 Important Links

Software and Documentation
 Matlab Docs
 Khoros Docs
 TN-Image Docs
 Michael Boland's thesis







Murphy Lab - Software - PLoS CB 2015 - Punctate Proteins


The software and intermediate results used for the following paper can be downloaded below:

G. R. Johnson, J. Li, A. Shariff, G.K.Rohde, and R.F. Murphy (2015) Automated Learning of Subcellular Variation among Punctate Protein Patterns and a Generative Model of their Relation to Microtubules. PLoS Computational Biology 11:e1004614.

License

This source code is released under GNU LGPL v2.1.

Downloads

The data and code are contained in the following files.

Source Code

Primary Data

The original image files were provided courtesy of Dr. Emma Lundberg, Dr. Mathias Uhlen and the Human Protein Atlas project, http://proteinatlas.org. They can be requested by contacting Dr. Lundberg.

Intermediate Results

These files can be used to regenerate the tables and figures in the paper.

Recreating results

To recreate the results from the article (i.e. the figures and tables),

Download and expand the source code to the desired directory. wget -nc http://murphylab.web.cmu.edu/software/2015_PLoS_CB_Punctate_Proteins/PLoS_CB_PP_source_code.tgz
tar -xzf PLoS_CB_PP_source_code.tgz

Download and expand the intermediate results into the same root directory

wget -nc http://murphylab.web.cmu.edu/software/2015_PLoS_CB_Punctate_Proteins/PLoS_CB_PP_intermediate_results.tgz
tar -xzf PLoS_CB_PP_intermediate_results.tgz

Go into the code directory and run the code

cd code
matlab
>> masterscript

Note that the masterscript will check for the presence of the intermediate results files and if they are not present it will process the primary images. Doing all calculations from the primary data will take approximately one week, depending on number of cores available.

System requirements

  • MATLAB
This package has been tested using Matlab 2014a in CentOS.



Last Updated: 07 Dec 2015




Copyright © 1996-2019 by the Murphy Lab, Computational Biology Department at Carnegie Mellon University