# HG changeset patch
# User bimib
# Date 1623075282 0
# Node ID 720e8301a90e9ad0980426c033bb6e0dea830006
# Parent  b6af3f72fd28aec23a60659b569973a2034d4b65
Deleted selected files

diff -r b6af3f72fd28 -r 720e8301a90e Marea/ras_generator.xml
--- a/Marea/ras_generator.xml	Mon Jun 07 14:13:57 2021 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,113 +0,0 @@
-<tool id="MaREA RAS Generator" name="Expression2RAS" version="1.0.7">
-    <description>- Reaction Activity Scores computation</description>
-    <macros>
-        <import>marea_macros.xml</import>
-    </macros>
-    <requirements>
-        <requirement type="package" version="0.25.3">pandas</requirement>
-        <requirement type="package" version="1.6.3">scipy</requirement>
-        <requirement type="package" version="4.6.3">lxml</requirement>
-        <requirement type="package" version="1.1.0">svglib</requirement>
-        <requirement type="package" version="3.5.67">reportlab</requirement>
-    </requirements>
-    <command detect_errors="exit_code">
-        <![CDATA[
-      	python $__tool_directory__/ras_generator.py
-      	--rules_selector $cond_rule.rules_selector	
-        --input $input
-        --none $none
-        --tool_dir $__tool_directory__
-        --out_log $log	
-        --ras_output $ras_output
-        #if $cond_rule.rules_selector == 'Custom'
-        	--custom $cond_rule.Custom_rules
-        #end if
-        ]]>
-    </command>
-    <inputs>
-        <conditional name="cond_rule">
-            <expand macro="options"/>
-            <when value="HMRcore">
-            </when>
-            <when value="Recon">
-            </when>
-            <when value="Custom">
-                <param name="Custom_rules" type="data" format="tabular, csv, tsv, xml" label="Custom rules" />
-            </when>
-        </conditional>
-        <param name="input" argument="--input" type="data" format="tabular, csv, tsv" label="Gene Expression dataset:" />
-        <param name="name" argument="--name" type="text" label="Dataset's name:" value="Dataset" help="Default: Dataset" />
-        <param name="none" argument="--none" type="boolean" truevalue="true" falsevalue="false" checked="true" label="(A and NaN) solved as (A)?" /> 
-    </inputs>
-
-    <outputs>
-        <data format="txt" name="log" label="Expression2RAS - $name - Log" />
-        <data format="tabular" name="ras_output" label="$name RAS"/>
-    </outputs>
-
-    <help>
-<![CDATA[
-
-What it does
--------------
-
-This tool computes Reaction Activity Scores from gene expression (RNA-seq) dataset(s), as described in Graudenzi et al. Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power. Journal of Biomedical Informatics, 2018, 87: 37-49.
- 
-Accepted files:
-    - A gene expression dataset
- 
-Format:
-Tab-separated text file reporting the normalized expression level (e.g., TPM, RPKM, ...) of each gene (row) for a given sample (column).
-Column header: sample ID.
-Row header: gene ID.
- 
- 
-Optional files:
-    - custom GPR (Gene-Protein-Reaction) rules. Two accepted formats:
-
-	* (Cobra Toolbox and CobraPy compliant) xml of metabolic model;
-	* .csv file specifyig for each reaction ID (column 1) the corresponding GPR rule (column 2).
- 
-Computation option ‘(A and NaN) solved as (A)’:
-In case of missing expression value, referred to as NaN (Not a Number), for a gene joined with an AND operator in a given GPR rule, the rule ‘A and NaN’
- 
-If YES is selected: the GPR will be solved as A.
- 
-If NO is selected: the GPR will be disregarded tout-court (i.e., treated as NaN).
-
-Example input
--------------
-
-Custom GPR rules:
-
-+------------+--------------------------------------+   
-| id         |         rule (with entrez-id         |   
-+============+======================================+   
-| r1642      |             155060 or 10357          |   
-+------------+--------------------------------------+    
-| r1643      |        155060 or 100134869           |    
-+------------+--------------------------------------+    
-| r1640      |     155060 and 100134869 or 10357    |   
-+------------+--------------------------------------+
-
-RNA-seq dataset:
-
-+------------+----------------+----------------+----------------+ 
-| Hugo_ID    |   TCGAA62670   |   TCGAA62671   |   TCGAA62672   |  
-+============+================+================+================+
-| HGNC:24086 |    0.523167    |    0.371355    |    0.925661    |  
-+------------+----------------+----------------+----------------+    
-| HGNC:24086 |    0.568765    |    0.765567    |    0.456789    |    
-+------------+----------------+----------------+----------------+    
-| HGNC:9876  |    0.876545    |    0.768933    |    0.987654    |  
-+------------+----------------+----------------+----------------+
-| HGNC:9     |    0.456788    |    0.876543    |    0.876542    |    
-+------------+----------------+----------------+----------------+    
-| HGNC:23    |    0.876543    |    0.786543    |    0.897654    |   
-+------------+----------------+----------------+----------------+
-
-]]>
-    </help>
-<expand macro="citations" />
-</tool>
-	
diff -r b6af3f72fd28 -r 720e8301a90e ras_generator.xml
--- a/ras_generator.xml	Mon Jun 07 14:13:57 2021 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,113 +0,0 @@
-<tool id="MaREA RAS Generator" name="Expression2RAS" version="1.0.7">
-    <description>- Reaction Activity Scores computation</description>
-    <macros>
-        <import>marea_macros.xml</import>
-    </macros>
-    <requirements>
-        <requirement type="package" version="0.25.3">pandas</requirement>
-        <requirement type="package" version="1.6.3">scipy</requirement>
-        <requirement type="package" version="4.6.3">lxml</requirement>
-        <requirement type="package" version="1.1.0">svglib</requirement>
-        <requirement type="package" version="3.5.67">reportlab</requirement>
-    </requirements>
-    <command detect_errors="exit_code">
-        <![CDATA[
-      	python $__tool_directory__/ras_generator.py
-      	--rules_selector $cond_rule.rules_selector	
-        --input $input
-        --none $none
-        --tool_dir $__tool_directory__
-        --out_log $log	
-        --ras_output $ras_output
-        #if $cond_rule.rules_selector == 'Custom'
-        	--custom $cond_rule.Custom_rules
-        #end if
-        ]]>
-    </command>
-    <inputs>
-        <conditional name="cond_rule">
-            <expand macro="options"/>
-            <when value="HMRcore">
-            </when>
-            <when value="Recon">
-            </when>
-            <when value="Custom">
-                <param name="Custom_rules" type="data" format="tabular, csv, tsv, xml" label="Custom rules" />
-            </when>
-        </conditional>
-        <param name="input" argument="--input" type="data" format="tabular, csv, tsv" label="Gene Expression dataset:" />
-        <param name="name" argument="--name" type="text" label="Dataset's name:" value="Dataset" help="Default: Dataset" />
-        <param name="none" argument="--none" type="boolean" truevalue="true" falsevalue="false" checked="true" label="(A and NaN) solved as (A)?" /> 
-    </inputs>
-
-    <outputs>
-        <data format="txt" name="log" label="Expression2RAS - $name - Log" />
-        <data format="tabular" name="ras_output" label="$name RAS"/>
-    </outputs>
-
-    <help>
-<![CDATA[
-
-What it does
--------------
-
-This tool computes Reaction Activity Scores from gene expression (RNA-seq) dataset(s), as described in Graudenzi et al. Integration of transcriptomic data and metabolic networks in cancer samples reveals highly significant prognostic power. Journal of Biomedical Informatics, 2018, 87: 37-49.
- 
-Accepted files:
-    - A gene expression dataset
- 
-Format:
-Tab-separated text file reporting the normalized expression level (e.g., TPM, RPKM, ...) of each gene (row) for a given sample (column).
-Column header: sample ID.
-Row header: gene ID.
- 
- 
-Optional files:
-    - custom GPR (Gene-Protein-Reaction) rules. Two accepted formats:
-
-	* (Cobra Toolbox and CobraPy compliant) xml of metabolic model;
-	* .csv file specifyig for each reaction ID (column 1) the corresponding GPR rule (column 2).
- 
-Computation option ‘(A and NaN) solved as (A)’:
-In case of missing expression value, referred to as NaN (Not a Number), for a gene joined with an AND operator in a given GPR rule, the rule ‘A and NaN’
- 
-If YES is selected: the GPR will be solved as A.
- 
-If NO is selected: the GPR will be disregarded tout-court (i.e., treated as NaN).
-
-Example input
--------------
-
-Custom GPR rules:
-
-+------------+--------------------------------------+   
-| id         |         rule (with entrez-id         |   
-+============+======================================+   
-| r1642      |             155060 or 10357          |   
-+------------+--------------------------------------+    
-| r1643      |        155060 or 100134869           |    
-+------------+--------------------------------------+    
-| r1640      |     155060 and 100134869 or 10357    |   
-+------------+--------------------------------------+
-
-RNA-seq dataset:
-
-+------------+----------------+----------------+----------------+ 
-| Hugo_ID    |   TCGAA62670   |   TCGAA62671   |   TCGAA62672   |  
-+============+================+================+================+
-| HGNC:24086 |    0.523167    |    0.371355    |    0.925661    |  
-+------------+----------------+----------------+----------------+    
-| HGNC:24086 |    0.568765    |    0.765567    |    0.456789    |    
-+------------+----------------+----------------+----------------+    
-| HGNC:9876  |    0.876545    |    0.768933    |    0.987654    |  
-+------------+----------------+----------------+----------------+
-| HGNC:9     |    0.456788    |    0.876543    |    0.876542    |    
-+------------+----------------+----------------+----------------+    
-| HGNC:23    |    0.876543    |    0.786543    |    0.897654    |   
-+------------+----------------+----------------+----------------+
-
-]]>
-    </help>
-<expand macro="citations" />
-</tool>
-