Mercurial > repos > mmaiensc > ember
diff GALAXY_FILES/tools/PreProcess_Expression_Data.xml @ 1:e62b2ba92070 default tip
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| author | mmaiensc |
|---|---|
| date | Thu, 22 Mar 2012 13:19:59 -0400 |
| parents | 1ef24fd0c914 |
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--- a/GALAXY_FILES/tools/PreProcess_Expression_Data.xml Wed Feb 29 14:46:05 2012 -0500 +++ /dev/null Thu Jan 01 00:00:00 1970 +0000 @@ -1,76 +0,0 @@ -<tool id="prep_data" name="PreProcess Expression Data" version="1.3"> - <description>Combines gene expression data</description> - <command interpreter="perl">PreProcess_Expression_Data.pl -i $data -c $compslist -a $annot -o $output -p $thresh -l $log -v n</command> - <inputs> - <param format="txt" name="data" type="data" label="Expression data"/> - <param format="txt" name="compslist" type="data" label="Comparison list"/> - <param format="txt" name="annot" type="data" label="Annotation file"/> - <param name="thresh" type="float" min="0" max="1" label="Percentile threshold" value="0.63" optional="true"/> - <param name="log" type="select" label="Log transform data?"> - <option value="n" selected="true">No</option> - <option value="y">Yes</option> - </param> - </inputs> - <outputs> - <data format="txt" name="output"/> - </outputs> - - <tests> - <test> - <param name="data" value="EMBER/expression.txt"/> - <param name="compslist" value="EMBER/comparisons_list.txt"/> - <param name="annot" value="EMBER/annotation.txt"/> - <param name="thresh" value="0.63"/> - <param name="log" value="n"/> - <output name="output" file="EMBER/expression_profiles.txt"/> - </test> - </tests> - - <help> - -This tool discretizes the gene expression data and adds genomic annotations. - -More options for the EMBER tools (especially for the main program, EMBER, including searching for multiple expression patterns) are available in the command line version, available at http://dinner-group.uchicago.edu/downloads.html. That package also includes test data and sample outputs. - -When using any of the EMBER tools, please cite: M Maienschein-Cline, J Zhou, KP White, R Sciammas, and AR Dinner. Discovering transcription factor regulatory targets using gene expression and binding data. *Bioinformatics*, 28:206-213 (2012). - ------ - -Description of inputs: - -*Expression Data*: - - Microarray data, with data from N experiments (and at least 2 replicates per condition). - - *Format (N+1 columns)*: [ID] [expt 1 value] [expt 2 value] ... [expt N value] - - IMPORTANT: the first line should be a title line, first field "#ID", and subsequent fields giving the condition/replicate for each column, i.e., - - #ID [condition]#[replicate]... - - where [condition] matches the values in the Comparison List, and replicate tells which number the file is. [condition] and [replicate] are delimited by a "#" (so don't use that character in the condition name). - -*Comparison List*: - - List of behavior dimension definitions. [condition] should match the names in the expression data list. - - *Format (2 columns)*: [condition1] [condition2] - -*Annotation File*: - - Gives the genomic coordinates of each probe set. - - *Format (6 columns)*: [probe id] [gene name] [chromosome] [start] [end] [strand] - -*Percentile Threshold* (p): - - Used to eliminate genes that are consistently expressed at a very low level. All data are concatenated into one list, and the pth percentile of that list is taken as the thresold. Then a probe set is removed if its value is less than the threshold in ALL conditions. - - p = 1.0 means all probes are retained, p = 0.0 means none are. However, note that this does NOT necessarily imply that 0.63 means 63% of probe sets are retained. - -*Log Transform*: whether or not to take the log of the data before discretization. - - </help> - -</tool> -
