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planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/trinity commit c6eab3b60743dfa415dc135d657267cc8a0a31ce
author iuc
date Tue, 08 Aug 2023 09:07:50 +0000
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1 Trinity memory usage
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2 ====================
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4 As described on the official Trinity website
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5 `FAQ <http://trinityrnaseq.sourceforge.net/trinity_faq.html#ques_comp_resources_required>`_,
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6 trinity requires a large amount of memory to perform the assembly: "roughly
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7 ~1G of RAM per 1M reads to be assembled"
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9 By default, this tool is configured to limit the memory consumption to 1G.
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10 You might need to lower this limit if the machine(s) executing the jobs have less memory available.
64094e19077d planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/trinity commit 9dcdb5348f7439d0ce1e44ed23ad226beb4ae6d4
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11 If you have a lot of reads to assemble and a machine with enough memory, you can increase it.
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13 This tool uses the GALAXY_MEMORY_MB environmental variable to limit the its memory usage. If you use a supported cluster type, you just need to limit the memory in the destination section of the job_conf.xml file to the amount of available memory (in MB), for example with a Slurm cluster::
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15 <destination id="cluster_high_mem" runner="slurm
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16 <param id="nativeSpecification">--mem=1024</param>
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17 </destination>
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19 If you cluster type does not support memory limit detection, you can also set manually the GALAXY_MEMORY_MB environmental variable in the destination section of the job_conf.xml file to the amount of available memory (in MB)::
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21 <?xml version="1.0"?>
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22 <!-- A sample job config that explicitly configures job running the way it is configured by default (if there is no explicit config). -->
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23 <job_conf>
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24 <plugins>
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25 <plugin id="local" type="runner" load="galaxy.jobs.runners.local:LocalJobRunner" workers="4"/>
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26 </plugins>
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27 <handlers>
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28 <handler id="main"/>
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29 </handlers>
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30 <destinations>
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31 <destination id="local" runner="local">
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32 <env id="GALAXY_MEMORY_MB">1024</env>
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33 </destination>
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34 </destinations>
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35 </job_conf>
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