Version 1.1b of the Short Time-series Expression Miner (STEM)
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STEM was developed by Jason Ernst in collaboration with Ziv Bar-Joseph. 
Any questions about the software or bugs found should be emailed to jernst@cs.cmu.edu.
The latest version of STEM will be available at www.cs.cmu.edu/~jernst/stem.
Consult the file manual.pdf for comprehensive documentation about STEM.

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STEM requires Java 1.4 or later to be installed.  Java can be downloaded from
http://www.java.com.

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Once Java is installed, to start STEM in Microsoft Windows double click on stem.cmd.  
Otherwise to start STEM, from a command line while in the stem directory enter the 
command

java -mx1024M -ms512M  -jar stem.jar 

Append "-d defaults.txt" to the above command to have STEM start with its initial
settings be those specified in the defaults.txt file.  

Note: if Java gives an error message indicating that there is not enough
memory available on the computer to start STEM, then remove the
-m512M option from the command.  For slightly faster execution times at the expense
of greater memory usage replace "-ms512M" with "-ms1024M".   

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To start STEM with default settings to analyze the sample data included in the 
stem directory, if in Microsoft Windows double click on the file 
stemGuilleminSample.cmd, otherwise from a command line while in the stem
directory type the command:

java -mx1024M -ms512M -jar stem.jar -d defaultsGuilleminSample.txt

In the stem directory are three sample data files,
g27_1.txt, g27_2.txt, and vaca.txt.  The data in these files
come from the Stanford Microarray Database entry
http://genome-www5.stanford.edu/cgi-bin/publication/viewPublication.pl?pub_no=193 
which is for the paper
Guillemin, K., Salama, N., Tomplins, L., and Falkow, S.
Cag pathogenicity island-specific responses of gastric
epithelial cells to Helicobacter pylori infection.
Proc Natl Acad Sci. USA, 99 15136-15141.

The data in the g27_1.txt and g27_2.txt files are from the G27 TC1 trial 4 
and G27 TC1 trial 5 time courses respectively and are technical replicates 
of a wildtype experiment.  The data in vaca.txt is a comparison knockout
experiment from the vacA trial 3 time course.
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STEM is distributed to academic and non-profit users under a non-commercial 
research use license.  

STEM makes use of the Piccolo toolkit which is distributed under a BSD license.  
More information about Piccolo can be found at www.cs.umd.edu/hcil/piccolo

STEM makes use of the Gene Ontology and gene annotations provided by Gene Ontology
Consortium members.  More information about the Gene Ontology can be found at
www.geneontology.org.