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Repository tmhmm_and_signalp
Owner: peterjc
Synopsis: TMHMM, SignalP, Promoter, RXLR motifs, WoLF PSORT and PSORTb
Galaxy wrappers for several standalone command line sequence analysis tools:

SignalP 3.0 predicts signal peptides, see:
http://www.cbs.dtu.dk/services/SignalP/

TMHMM 2.0 predicts transmembrane helices, see:
http://www.cbs.dtu.dk/services/TMHMM/

Promoter 2.0 predicts eukaryotic PolII promoters, see:
http://www.cbs.dtu.dk/services/Promoter/

WoLF PSORT predicts eukaryote protein sub-cellular localization, see:
http://wolfpsort.org/

POSRTb predicts prokaryote protein sub-cellular localization, see:
http://www.psort.org/documentation/index.html

Oomycete RXLR motif prediction - a Python script implementing three published
methods, which calls SignalP 3.0 and HMMER 2.3.2 internally.

To use these Galaxy wrappers you must first install the command line tools,
which at the the time of writing are all free for academic use or open source.
Type: unrestricted
Revision: 16:7de64c8b258d
This revision can be installed: True
Times cloned / installed: 2559

Repository README files - may contain important installation or license information

This package contains Galaxy wrappers for a selection of standalone command line protein analysis tools: * SignalP 3.0, THMHMM 2.0, Promoter 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/ * PSORTb v3 from http://www.psort.org/downloads/index.html 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, or open source. These wrappers are copyright 2010-2013 by Peter Cock, James Hutton Institute (formerly SCRI, Scottish Crop Research Institute), UK. All rights reserved. Contributions/revisions copyright 2011 Konrad Paszkiewicz. All rights reserved. See the included LICENCE file for details (MIT open source licence). The wrappers are available from the Galaxy Tool Shed http://toolshed.g2.bx.psu.edu/view/peterjc/tmhmm_and_signalp Citation ======== If you use any of these Galaxy tools in work leading to a scientific publication, in addition to citing the invididual underlying tools, please cite: Peter Cock, Bjoern Gruening, Konrad Paszkiewicz and Leighton Pritchard (2013). Galaxy tools and workflows for sequence analysis with applications in molecular plant pathology. PeerJ 1:e167 http://dx.doi.org/10.7717/peerj.167 Full reference information is included in the help text for each tool. 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 command line version of Promoter 2.0 and ensure "promoter" is on the PATH, see: http://www.cbs.dtu.dk/services/Promoter 4. 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/ 5. 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 as the Galaxy user if appropriate). Manual Installation =================== 1. Create a folder tools/protein_analysis under your Galaxy installation. This folder name is not critical, and can be changed if desired - you must update the paths used in tool_conf.xml to match. 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) * promoter2.xml (Galaxy tool definition) * promoter2.py (Python wrapper script) * psortb.xml (Galaxy tool definition) * psortb.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) * LICENCE * README.rst (this file) 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::
Leave out the lines for any tools you do not wish to use in Galaxy. 4. Copy/move the test-data files (from this archive) to Galaxy's subfolder test-data. 5. Run the Galaxy functional tests for these new wrappers with:: ./run_functional_tests.sh -id tmhmm2 ./run_functional_tests.sh -id signalp3 ./run_functional_tests.sh -id Psortb ./run_functional_tests.sh -id rxlr_motifs 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 To check the section ID expected, use ./run_functional_tests.sh -list 6. Restart Galaxy and check the new tools are shown and work. History ======= ======= ====================================================================== Version Changes ------- ---------------------------------------------------------------------- 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. v0.1.0 - Added Promoter 2.0 wrapper (similar to SignalP & TMHMM wrappers) - Support Galaxy's tag for SignalP, TMHMM & Promoter v0.1.1 - Fixed an error in the header of the tabular output from Promoter v0.1.2 - Use the new settings in the XML wrappers to catch errors - Use SGE style $NSLOTS for thread count (otherwise default to 4) v0.1.3 - Added missing file whisson_et_al_rxlr_eer_cropped.hmm to Tool Shed v0.2.0 - Added PSORTb wrapper to the suite, based on earlier work contributed by Konrad Paszkiewicz. v0.2.1 - Use a script to create the Tool Shed tar-ball (removed some stray files accidentally included previously via a wildcard). v0.2.2 - Include missing test files. v0.2.3 - Added unit tests for WoLF PSORT. v0.2.4 - Added unit tests for Promoter 2 v0.2.5 - Link to Tool Shed added to help text and this documentation. - More unit tests. - Fixed bug with RXLR tool and empty FASTA files. - Fixed typo in the RXLR tool help text. - Updated citation information (Cock et al. 2013). - Adopted standard MIT licence. - Use reStructuredText for this README file. - Development moved to GitHub, https://github.com/peterjc/pico_galaxy ======= ====================================================================== Developers ========== This script and other tools are being developed on the following hg branches: http://bitbucket.org/peterjc/galaxy-central/src/seq_analysis http://bitbucket.org/peterjc/galaxy-central/src/tools Development has now moved to a dedicated GitHub repository: https://github.com/peterjc/pico_galaxy/tree/master/tools For making the "Galaxy Tool Shed" http://community.g2.bx.psu.edu/ tarball use the following command from the Galaxy root folder:: $ ./tools/protein_analysis/make_tmhmm_and_signalp.sh This simplifies ensuring a consistent set of files is bundled each time, including all the relevant test files.

Contents of this repository

Name Description Version Minimum Galaxy Version
Determines sub-cellular localisation of bacterial/archaeal protein sequences 0.0.3 any
Find RXLR Effectors of Plant Pathogenic Oomycetes 0.0.7 any
Find transmembrane domains in protein sequences 0.0.11 any
Eukaryote protein subcellular localization prediction 0.0.6 any
Find signal peptides in protein sequences 0.0.12 any
Find eukaryotic PolII promoters in DNA sequences 0.0.6 any

Categories
Sequence Analysis - Tools for performing Protein and DNA/RNA analysis