Mercurial > repos > peterjc > tmhmm_and_signalp

This package contains Galaxy wrappers for a selection of standalone command
line protein analysis tools:

* SignalP 3.0 and THMHMM 2.0, from the Center for Biological
  Sequence Analysis at the Technical University of Denmark,
  http://www.cbs.dtu.dk/cbs/

* WoLF PSORT v0.2 from http://wolfpsort.org/

Also, the RXLR motif tool uses SignalP 3.0 and HMMER 2.3.2 internally.

To use these Galaxy wrappers you must first install the command line tools.
At the time of writing they are all free for academic use.

These wrappers are copyright 2010-2011 by Peter Cock, James Hutton Institute
(formerly SCRI, Scottish Crop Research Institute), UK. All rights reserved.
See the included LICENCE file for details.

Requirements
============

First install those command line tools you wish to use the wrappers for:

1. Install the command line version of SignalP 3.0 and ensure "signalp" is
   on the PATH, see: http://www.cbs.dtu.dk/services/SignalP/

2. Install the command line version of TMHMM 2.0 and ensure "tmhmm" is on
   the PATH, see: http://www.cbs.dtu.dk/services/TMHMM/

3. Install the WoLF PSORT v0.2 package, and ensure "runWolfPsortSummary"
   is on the PATH (we use an extra wrapper script to change to the WoLF PSORT
   directory, run runWolfPsortSummary, and then change back to the original
   directory), see: http://wolfpsort.org/WoLFPSORT_package/version0.2/

4. Install hmmsearch from HMMER 2.3.2 (the last stable release of HMMER 2)
   but put it on the path under the name hmmsearch2 (allowing it to co-exist
   with HMMER 3), or edit rlxr_motif.py accordingly.

Verify each of the tools is installed and working from the command line
(when logged in at the Galaxy user if appropriate).

Installation
============

1. Create a folder tools/protein_analysis under your Galaxy installation.

2. Copy/move the following files (from this archive) there:

tmhmm2.xml (Galaxy tool definition)
tmhmm2.py (Python wrapper script)

signalp3.xml (Galaxy tool definition)
signalp3.py (Python wrapper script)

wolf_psort.xml (Galaxy tool definition)
wolf_psort.py (Python wrapper script)

rxlr_motifs.xml (Galaxy tool definition)
rxlr_motifs.py (Python script)

seq_analysis_utils.py (shared Python code)
README (optional)

3. Edit your Galaxy conjuration file tool_conf.xml (to use the tools) AND
   also tool_conf.xml.sample (to run the tests) to include the new tools
   by adding:

  <section name="Protein sequence analysis" id="protein_analysis">
    <tool file="protein_analysis/tmhmm2.xml" />
    <tool file="protein_analysis/signalp3.xml" />
    <tool file="protein_analysis/wolf_psort.xml" />
    <tool file="protein_analysis/rxlr_motifs.xml" />
  </section>

   Leave out the lines for any tools you do not wish to use in Galaxy.

4. Copy/move the following test files (from these archive) to Galaxy
   subfolder test-data:

four_human_proteins.fasta
four_human_proteins_signalp3.tabular
four_human_proteins_tmhmm2.tabular
empty.fasta
empty_tmhmm2.tabular
empty_signalp3.tabular

5. Run the Galaxy functional tests for these new wrappers with:

./run_functional_tests.sh -id tmhmm2
./run_functional_tests.sh -id signalp3

Alternatively, this should work (assuming you left the name and id as shown in
the XML file tool_conf.xml.sample):

./run_functional_tests.sh -sid Protein_sequence_analysis-protein_analysis

6. Restart Galaxy and check the new tools are shown and work.


History
=======

v0.0.1 - Initial release
v0.0.2 - Corrected some typos in the help text
       - Renamed test output file to use Galaxy convention of *.tabular
v0.0.3 - Check for tmhmm2 silent failures (no output)
       - Additional unit tests
v0.0.4 - Ignore comment lines in tmhmm2 output.
v0.0.5 - Explicitly request tmhmm short output (may not be the default)
v0.0.6 - Improvement to how sub-jobs are run (should be faster)
v0.0.7 - Change SignalP default truncation from 60 to 70 to match the
         SignalP webservice.
v0.0.8 - Added WoLF PSORT wrapper to the suite.
v0.0.9 - Added our RXLR motifs tool to the suite.


Developers
==========

This script and other tools are being developed on the following hg branch:
http://bitbucket.org/peterjc/galaxy-central/src/tools

This incorporates the previously used hg branch:
http://bitbucket.org/peterjc/galaxy-central/src/seq_analysis

For making the "Galaxy Tool Shed" http://community.g2.bx.psu.edu/ tarball use
the following command from the Galaxy root folder:

tar -czf tmhmm_signalp_etc.tar.gz tools/protein_analysis/LICENSE tools/protein_analysis/README tools/protein_analysis/suite_config.xml tools/protein_analysis/seq_analysis_utils.py tools/protein_analysis/signalp3.xml tools/protein_analysis/signalp3.py tools/protein_analysis/tmhmm2.xml tools/protein_analysis/tmhmm2.py tools/protein_analysis/wolf_psort.xml tools/protein_analysis/wolf_psort.py tools/protein_analysis/rxlr_motifs.xml tools/protein_analysis/rxlr_motifs.py  test-data/four_human_proteins.* test-data/empty.fasta test-data/empty_tmhmm2.tabular test-data/empty_signalp3.tabular

Check this worked:

$ tar -tzf tmhmm_signalp_etc.tar.gz
tools/protein_analysis/LICENSE
tools/protein_analysis/README
tools/protein_analysis/suite_config.xml
tools/protein_analysis/seq_analysis_utils.py
tools/protein_analysis/signalp3.xml
tools/protein_analysis/signalp3.py
tools/protein_analysis/tmhmm2.xml
tools/protein_analysis/tmhmm2.py
tools/protein_analysis/wolf_psort.xml
tools/protein_analysis/wolf_psort.py
tools/protein_analysis/rxlr_motifs.xml
tools/protein_analysis/rxrl_motifs.py
test-data/four_human_proteins.fasta
test-data/four_human_proteins.signalp3.tabular
test-data/four_human_proteins.tmhmm2.tabular
test-data/empty.fasta
test-data/empty_tmhmm2.tabular
test-data/empty_signalp3.tabular
author	peterjc
date	Tue, 07 Jun 2011 18:07:09 -0400
parents	0f1c61998b22
children	9b45a8743100