General Documentation
- Welcome FAQ
- Secure Shell SSH
- Available Software
- Installing Software
- Guidelines and Policies
- Glossary
- Grant Support
- Sharing Data
- Containers & Singularity
- UserGroup Presentations
- Jupyter Notebook Usage
LSF Primer
Lilac Cluster Guide
Juno Cluster Guide
Cloud Resources
Backup Policy on server/node local drives
File lists
Page History
Some Miniconda
Many tools don’t require root root privileges , and will let you customize your and can be installed in user space. This enables users to customize Python packages to your their needs, without conflicting with any system-level Python installations, or Python installations other users have performed.
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Miniconda installers contain the conda
package manager and Python
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$ condacreate -n aligners bwa bowtie hisatstar
Some tools came with singularity image. Please read more about how to use singularity container. You can use module to load singularity as:
Module avail
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Containers
Many HPC groups are using containers for their software. Some tools come as singularity or docker images.
(1) If there is no docker container available for your package you can build one in your local machine with the OS of your choice and install your package.
(2) Push the container to a cloud container repo. ie. https://hub.docker.com
(3) Pull the docker container as a singularity image in juno, doing singularity pull docker://<your-image>
(4) Run your package by doing singularity run <your-image> <your-package-command>
Module avail will show you the available packages and versions.
You can use module to load singularity as:
module load singularity/3.7.1
Please read more about how to use containers.
docker
https://docker-curriculum.com/
singularity
https://sylabs.io/guides/3.5/user-guide/introduction.html
https://singularity.lbl.gov/quickstart
http://mskcchpc.org/display/CLUS/Singularity+Usage
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