Globally installed software: Difference between revisions
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== See also == | == See also == | ||
* [[Main_Page#Using_the_B4F_Cluster | Using the B4F Cluster]] | * [[Main_Page#Using_the_B4F_Cluster | Using the B4F Cluster]] | ||
* [[Domain_specific_software_on_B4Fcluster_installation_by_users | Installing domain specific software: installation by users]] | * [[Domain_specific_software_on_B4Fcluster_installation_by_users | Installing domain specific software: installation by users]] | ||
* [[Setting local variables]] | * [[Setting local variables]] | ||
Revision as of 10:49, 15 March 2014
Available as modules
- gcc/4.8.1
- python/2.7.6
- python/3.3.3
- R/3.0.2
Globally installed on all nodes
- Perl5.10
- pigz
- Python2.6
- BioPerl v1.61
Available as global SHARED modules
Modules can be found in:
/cm/shared/modulefiles/SHARED/
- augustus/2.7
- bedtools/2.18.0
- BLAST+/2.2.28
- blat/v35
- bwa/0.5.9
- bwa/0.7.5a
- cegma/2.4
- exonerate/2.2.0-x86_64
- geneid/1.4.4
- genewise/2.2.3-rc7
- hmmer/3.1b1
- maker/2.28
- Plink/1.07
- provean/1.1.3
- RepeatMasker/4.0.3
- RepeatModeler/1.0.7
- samtools/0.1.12a
- samtools/0.1.19
- snap/2013-11-29
Adding a custom module directory to your environment
To allow the module program to find the custom module directory, the location of that directory has to be added to MODULEPATH variable.
export MODULEPATH=$MODULEPATH:/cm/shared/apps/WUR/ABGC/modulefiles
This can be made permanent by adding this line of code to the .bash_profile file in the root of your home folder. To then load the modified MODULEPATH variable you have to load .bash_profile again:
source .bash_profile
This needs to be done only for terminals that are already open. Next time you login, .bash_profile will be loaded automatically.
You can check if the modules are found.
module avail
This should give output that includes something similar to this:
----------------------------------- /cm/shared/apps/WUR/ABGC/modulefiles ----------------------------------- bwa/0.5.9 bwa/0.7.5a
See also
- Using the B4F Cluster
- Installing domain specific software: installation by users
- Setting local variables
- Installing R packages locally
- Setting up and using a virtual environment for Python3