changeset 1:73b48146d0f7 draft default tip

Hopefully the final update
author dpryan79
date Tue, 18 Apr 2017 16:16:55 -0400
parents ccf3e976e367
children
files .shed.yml README.rst rg_rnaStar.xml
diffstat 3 files changed, 5 insertions(+), 19 deletions(-) [+]
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--- a/.shed.yml	Tue Apr 18 10:44:24 2017 -0400
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,14 +0,0 @@
-categories:
-- Next Gen Mappers
-description: RNA STAR is an ultra fast universal RNA-seq aligner
-long_description: |
-  An ultra fast universal RNA-seq aligner that can optionally perform gene-level quantification on the fly.
-
-  Note that while very fast, this tool requires a considerable amount of memory. As an example, hg19 requires about 30GB. See http://gettinggeneticsdone.blogspot.com.au/2012/11/star-ultrafast-universal-rna-seq-aligner.html
-
-  Most of this wrapper was originally written by Jeremy Goecks, with kibbitzing and
-  automated dependency installation by Ross Lazarus.
-name: rgrnastar
-owner: iuc
-remote_repository_url: https://github.com/galaxyproject/tools-iuc/tree/master/tools/rgrnastar
-type: unrestricted
--- a/README.rst	Tue Apr 18 10:44:24 2017 -0400
+++ b/README.rst	Tue Apr 18 16:16:55 2017 -0400
@@ -3,7 +3,7 @@
 ===================
 
 -  **Memory**: To run efficiently, RNA-STAR requires enough free memory to
-   hold the SA-indexed reference genome in RAM. For Human Genome hg19 this is
-   index about 27GB and running RNA-STAR requires approximately ~30GB of RAM.
-   For custom genomes the rule of thub is to multiply the size of the 
-   reference FASTA file with 9 to get the estimated required amount of RAM.
+   hold the SA-indexed reference genome in RAM. For Human Genome hg19 this
+   index is about 27GB and running RNA-STAR requires approximately ~30GB of RAM.
+   For custom genomes, the rule of thub is to multiply the size of the 
+   reference FASTA file by 9 to estimated required amount of RAM.
--- a/rg_rnaStar.xml	Tue Apr 18 10:44:24 2017 -0400
+++ b/rg_rnaStar.xml	Tue Apr 18 16:16:55 2017 -0400
@@ -423,7 +423,7 @@
             </actions>
         </data>
         
-        <data name="reads_per_gene" format="tabular" label="${tool.name} on ${on_string}: reads per gene quantMode is '${quantMode}'" from_work_dir="ReadsPerGene.out.tab">
+        <data name="reads_per_gene" format="tabular" label="${tool.name} on ${on_string}: reads per gene" from_work_dir="ReadsPerGene.out.tab">
             <filter>quantMode is True</filter>
         </data>
     </outputs>