changeset 0:eaadf9edc5c1 draft default tip

planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/packages/package_art_2014_11_03 commit 44c7d88ebdbf798890394a7696a4ce0c504faaf7
author iuc
date Thu, 11 Jun 2015 13:50:21 -0400
parents
children
files tool_dependencies.xml
diffstat 1 files changed, 39 insertions(+), 0 deletions(-) [+]
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+<?xml version="1.0"?>
+<tool_dependency>
+  <package name="package_gsl_1_16" version="1.16">
+    <repository changeset_revision="4391a79f86fa" name="package_gsl_1_16" owner="iuc" prior_installation_required="True" toolshed="https://toolshed.g2.bx.psu.edu" />
+  </package>
+  <package name="art" version="2014_11_03">
+    <install version="1.0">
+      <actions>
+        <action type="download_by_url">http://www.niehs.nih.gov/research/resources/assets/docs/artsrcvanillaicecream031114linuxtgz.tgz</action>
+        <action type="set_environment_for_install">
+          <repository changeset_revision="4391a79f86fa" name="package_gsl_1_16" owner="iuc" toolshed="https://toolshed.g2.bx.psu.edu">
+            <package name="gsl" version="1.16" />
+          </repository>
+        </action>
+        <action type="autoconf" />
+        <action type="set_environment">
+          <environment_variable action="prepend_to" name="PATH">$INSTALL_DIR/bin/</environment_variable>
+          <environment_variable action="set_to" name="ART_ROOT_PATH">$INSTALL_DIR/</environment_variable>
+        </action>
+      </actions>
+    </install>
+    <readme>ART is a set of simulation tools to generate synthetic next-generation
+sequencing reads. ART simulates sequencing reads by mimicking real
+sequencing process with empirical error models or quality profiles summarized
+from large recalibrated sequencing data. ART can also simulate reads using user
+own read error model or quality profiles. ART supports simulation of
+single-end, paired-end/mate-pair reads of three major commercial
+next-generation sequencing platforms: Illumina's Solexa, Roche's 454 and
+Applied Biosystems' SOLiD. ART can be used to test or benchmark a variety
+of method or tools for next-generation sequencing data analysis, including
+read alignment, de novo assembly, SNP and structure variation discovery.
+ART was used as a primary tool for the simulation study of the 1000 Genomes
+Project . ART is implemented in C++ with optimized algorithms and is highly
+efficient in read simulation. ART outputs reads in the FASTQ format, and
+alignments in the ALN format. ART can also generate alignments in the SAM
+alignment or UCSC BED file format.
+</readme>
+  </package>
+</tool_dependency>