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This package is a Galaxy workflow for BlockClust pipeline.
======
Galaxy
======
`Galaxy `_ is an open, web-based platform for data intensive research.
All tools can be combined in workflows without any need of programming skills.
Furthermore the platform can be extended with more tools at any time.
Each tool has its own information about what it does and how the input is supposed to look like.
You can make data available for Galaxy by uploading local files or downloading online content.
Inputfiles, workflowsteps and results are stored in a history where you can view them or reaccess them later.
It is possible to share workflows and histories with other users or make the public available.
Saved workflows can be used with new input files or just to rerun an analyses which ensures repeatability.
Getting Started
===============
BlockClust can be installed on all common Unix systems.
However, it is developed on Linux and I don't have access to OS X. You are welcome to help improving this documentation, just contact_ me.
For any additional information, especially cluster configuration or general Galaxy_ questions,
please have a look at the Galaxy Wiki.
- http://wiki.galaxyproject.org/
- http://wiki.galaxyproject.org/Admin/
- http://galaxyproject.org/search/web/
.. _contact: https://github.com/bgruening
.. _Galaxy: http://galaxyproject.org/
Prerequisites::
* Python 2.6 or 2.7
* standard C compiler, C++ and Fortran compiler
* Autotools
* CMake
* cairo development files (used for PNG depictions)
* python development files
* Java Runtime Environment (JRE, used by OPSIN and NPLS)
To install all of the prerequisites you can run the following command, depending on your OS:
- Debian based systems: apt-get install build-essential gfortran cmake mercurial libcairo2-dev python-dev
- Fedora: yum install make automake gcc gcc-c++ gcc-gfortran cmake mercurial libcairo2-devel python-devel
- OS X (MacPorts_): port install gcc cmake automake mercurial cairo-devel
.. _MacPorts: http://www.macports.org/
===================
Galaxy installation
===================
0. Create a sand-boxed Python using virtualenv_ (not necessary but recommended)::
wget https://raw.github.com/pypa/virtualenv/master/virtualenv.py
python ./virtualenv.py --no-site-packages galaxy_env
. ./galaxy_env/bin/activate
.. _virtualenv: http://www.virtualenv.org/
1. Clone the latest `Galaxy platform`_::
hg clone https://bitbucket.org/galaxy/galaxy-central/
.. _Galaxy platform: http://wiki.galaxyproject.org/Admin/Get%20Galaxy
2. Navigate to the galaxy-central folder and update it::
cd ~/galaxy-central
hg pull
hg update
This step is not necessary if you have a fresh checkout. Anyway, it is good to know ;)
3. Create folders for toolshed and dependencies::
mkdir ~/shed_tools
mkdir ~/galaxy-central/tool_deps
4. Create configuration file::
cp ~/galaxy-central/universe_wsgi.ini.sample ~/galaxy-central/universe_wsgi.ini
5. Open universe_wsgi.ini and change the dependencies directory::
LINUX: gedit ~/galaxy-central/universe_wsgi.ini
OS X: open -a TextEdit ~/galaxy-central/universe_wsgi.ini
6. Search for ``tool_dependency_dir = None`` and change it to ``tool_dependency_dir = ./tool_deps``, remove the ``#`` if needed
7. Remove the ``#`` in front of ``tool_config_file`` and ``tool_path``
8. (Re-)Start the galaxy daemon::
sh run.sh --reload
In deamon mode all logs will be written to main.log in your Galaxy Home directory. You can also use::
run.sh
During the first startup Galaxy will prepare your database. That can take some time. Have a look at the log file if you want to know what happens.
After launching galaxy is accessible via the browser at ``http://localhost:8080/``.
=======================
Tool Shed configuration
=======================
- Register a new user account in your Galaxy instance: Top Panel → User → Register
- Become an admin
- open ``universe_wsgi.ini`` in your favourite text editor (gedit universe_wsgi.ini)
- search ``admin_users = None`` and change it to ``admin_users = EMAIL_ADDRESS`` (your Galaxy Username)
- remove the ``#`` if needed
- restart Galaxy
::
sh run.sh --reload
=======================
BlockClust installation
=======================
BlockClust will automatically download and compile all requirements,
like EDeN, samtools and so on. It can take up to 1-2 hours.
Installation via webbrowser
===========================
- go to the `admin page`_
- select *Search and browse tool sheds*
- Galaxy test tool shed > Sequence Analysis > blockclust_workflow
- install
.. _admin page: http://localhost:8080/admin
===============
Troubleshooting
===============
You can navigate to the blockclust_workflow repository in your browser and repair manually:
Top Panel → Admin → Manage installed tool shed repositories → blockclust_workflow → Repository Actions → Repair repository
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On slow computers and during the compilation of large software libraries, like R,
the Tool Shed can run into a timeout and kills the installation.
That problem is known and should be fixed in the near future.
If you encouter a timeout or 'hung' during the installation you can increase the ``threadpool_kill_thread_limit`` in your universe_wsgi.ini file.
------
**Database locking errors**
Please note that Galaxy per default uses a SQLite database. Sqlite is not intended for production use.
With multiple users or complex components, like that workflow, you will see database locking errors.
We highly recommend to use PostgreSQL for any kind of production system.
.. _Galaxy wiki: http://wiki.galaxyproject.org/
Workflows
=========
The BlockClust workflow is located in the `Tool Shed`::
http://toolshed.g2.bx.psu.edu/view/rnateam/blockclust_workflow
To import successfully installed the workflow to all your users you need to go to the admin panel, choose the worklow and import it.
For more information have a look at the Galaxy wiki::
http://wiki.galaxyproject.org/ToolShedWorkflowSharing#Finding_workflows_in_tool_shed_repositories
Please **note** that Galaxy per default uses a SQLite database. Sqlite is not intended for production use.
With multiple users or complex components, like that workflow, you will see database locking errors.
We highly recommend to use PostgreSQL for any kind of production system.
Sample Data
===========
Citation
========
If you use this workflow directly, or a derivative of it, or the associated
wrappers for Galaxy, in work leading to a scientific publication,
please cite:
Pavankumar Videm, Dominic Rose, Fabrizio Costa, and Rolf Backofen. "BlockClust: efficient clustering and classification of non-coding RNAs from short read RNA-seq profiles." Bioinformatics 30, no. 12 (2014): i274-i282.
Additional References
=====================
Availability
============
This workflow is available on the main Galaxy Tool Shed:
http://toolshed.g2.bx.psu.edu/view/rnateam/blockclust_workflow
Development is being done on github:
https://github.com/bgruening/galaxytools/tree/master/workflows/blockclust
Dependencies
============
These dependencies should be resolved automatically via the Galaxy Tool Shed:
* http://testtoolshed.g2.bx.psu.edu/view/iuc/package_samtools_0_1_19
* http://testtoolshed.g2.bx.psu.edu/view/iuc/package_r_3_0_1
* http://testtoolshed.g2.bx.psu.edu/view/iuc/msa_datatypes
* http://testtoolshed.g2.bx.psu.edu/view/iuc/package_infernal_1_1rc4
* http://testtoolshed.g2.bx.psu.edu/view/rnateam/blockbuster
* http://testtoolshed.g2.bx.psu.edu/view/bgruening/package_eden_1_1
* http://testtoolshed.g2.bx.psu.edu/view/iuc/package_mcl_12_135
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