January 2017 - galaxy-dev - lists.galaxyproject.org

Groovy tool for galaxy
by Anshul Tak 23 Aug '17

23 Aug '17

Hi, I have a question regarding galaxy. Can I execute groovy scipts using galaxy? I installed groovy in galaxy docker image and all the dependencies. However, when I try to execute a tool which require groovy engine it says "/export/galaxy-central/database/job_working_directory/000/2/tool_script.sh: line 9: groovy: command not found" So I understood the error that galaxy is not able to find groovy but ideally it should take the groovy engine as it is installed. Can you give me some pointers to solve this issue? -- With Regards, Anshul Tak

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Pulsar - running as real DRMAA user problems
by Poole, Richard 13 May '17

13 May '17

Hey John, So I’ve been happily using Pulsar to send all my Galaxy server jobs to our cluster here at UCL for several months now (I love it!). I am now exploring the ‘run-as-real-user’ option for DRMAA submissions and have run into a problem. The files are correctly staged, correctly chowned, successfully submitted to the queue and the job runs. However, at job end (collection?) fails with the following error message in Pulsar: Exception happened during processing of request from (‘*.*.*.*', 54321) Traceback (most recent call last): File "/opt/rocks/lib/python2.6/site-packages/Paste-2.0.1-py2.6.egg/paste/httpserver.py", line 1072, in process_request_in_thread self.finish_request(request, client_address) File "/opt/rocks/lib/python2.6/SocketServer.py", line 322, in finish_request self.RequestHandlerClass(request, client_address, self) File "/opt/rocks/lib/python2.6/SocketServer.py", line 617, in __init__ self.handle() File "/opt/rocks/lib/python2.6/site-packages/Paste-2.0.1-py2.6.egg/paste/httpserver.py", line 446, in handle BaseHTTPRequestHandler.handle(self) File "/opt/rocks/lib/python2.6/BaseHTTPServer.py", line 329, in handle self.handle_one_request() File "/opt/rocks/lib/python2.6/site-packages/Paste-2.0.1-py2.6.egg/paste/httpserver.py", line 441, in handle_one_request self.wsgi_execute() File "/opt/rocks/lib/python2.6/site-packages/Paste-2.0.1-py2.6.egg/paste/httpserver.py", line 291, in wsgi_execute self.wsgi_start_response) File "/cluster/galaxy/pulsar/pulsar/web/framework.py", line 39, in __call__ return controller(environ, start_response, **request_args) File "/cluster/galaxy/pulsar/pulsar/web/framework.py", line 144, in controller_replacement result = self.__execute_request(func, args, req, environ) File "/cluster/galaxy/pulsar/pulsar/web/framework.py", line 124, in __execute_request result = func(**args) File "/cluster/galaxy/pulsar/pulsar/web/routes.py", line 82, in status return status_dict(manager, job_id) File "/cluster/galaxy/pulsar/pulsar/manager_endpoint_util.py", line 12, in status_dict job_status = manager.get_status(job_id) File "/cluster/galaxy/pulsar/pulsar/managers/stateful.py", line 95, in get_status proxy_status, state_change = self.__proxy_status(job_directory, job_id) File "/cluster/galaxy/pulsar/pulsar/managers/stateful.py", line 115, in __proxy_status proxy_status = self._proxied_manager.get_status(job_id) File "/cluster/galaxy/pulsar/pulsar/managers/queued_external_drmaa_original.py", line 62, in get_status external_status = super(ExternalDrmaaQueueManager, self)._get_status_external(external_id) File "/cluster/galaxy/pulsar/pulsar/managers/base/base_drmaa.py", line 31, in _get_status_external drmaa_state = self.drmaa_session.job_status(external_id) File "/cluster/galaxy/pulsar/pulsar/managers/util/drmaa/__init__.py", line 50, in job_status return self.session.jobStatus(str(external_job_id)) File "build/bdist.linux-x86_64/egg/drmaa/session.py", line 518, in jobStatus c(drmaa_job_ps, jobId, byref(status)) File "build/bdist.linux-x86_64/egg/drmaa/helpers.py", line 299, in c return f(*(args + (error_buffer, sizeof(error_buffer)))) File "build/bdist.linux-x86_64/egg/drmaa/errors.py", line 151, in error_check raise _ERRORS[code - 1](error_string) InvalidJobException: code 18: The job specified by the 'jobid' does not exist. With this corresponding error from my Galaxy server: galaxy.tools.actions INFO 2016-10-13 18:47:51,851 Handled output (279.421 ms) galaxy.tools.actions INFO 2016-10-13 18:47:52,093 Verified access to datasets (5.271 ms) galaxy.tools.execute DEBUG 2016-10-13 18:47:52,118 Tool [toolshed.g2.bx.psu.edu/repos/devteam/sam_to_bam/sam_to_bam/1.1.4] created job [25008<http://toolshed.g2.bx.psu.edu/repos/devteam/sam_to_bam/sam_to_bam/1.1.4]%20…>] (560.404 ms) galaxy.jobs DEBUG 2016-10-13 18:47:52,579 (25008) Working directory for job is: /Users/galaxy/galaxy-dist/database/job_working_directory/025/25008 galaxy.jobs.handler DEBUG 2016-10-13 18:47:52,591 (25008) Dispatching to pulsar runner galaxy.jobs DEBUG 2016-10-13 18:47:52,677 (25008) Persisting job destination (destination id: hpc_low) galaxy.jobs.runners DEBUG 2016-10-13 18:47:52,681 Job [25008] queued (90.231 ms) galaxy.jobs.handler INFO 2016-10-13 18:47:52,699 (25008) Job dispatched galaxy.tools.deps DEBUG 2016-10-13 18:47:53,138 Building dependency shell command for dependency 'samtools' galaxy.jobs.runners.pulsar INFO 2016-10-13 18:47:53,233 Pulsar job submitted with job_id 25008 galaxy.jobs DEBUG 2016-10-13 18:47:53,257 (25008) Persisting job destination (destination id: hpc_low) galaxy.datatypes.metadata DEBUG 2016-10-13 18:51:03,922 Cleaning up external metadata files galaxy.jobs.runners.pulsar ERROR 2016-10-13 18:51:03,945 failure finishing job 25008 Traceback (most recent call last): File "/Users/galaxy/galaxy-dist/lib/galaxy/jobs/runners/pulsar.py", line 386, in finish_job run_results = client.full_status() File "/Users/galaxy/galaxy-dist/lib/pulsar/client/client.py", line 132, in full_status return self.raw_check_complete() File "/Users/galaxy/galaxy-dist/lib/pulsar/client/decorators.py", line 28, in replacement return func(*args, **kwargs) File "/Users/galaxy/galaxy-dist/lib/pulsar/client/decorators.py", line 13, in replacement response = func(*args, **kwargs) File "/Users/galaxy/galaxy-dist/lib/pulsar/client/client.py", line 146, in raw_check_complete check_complete_response = self._raw_execute("status", {"job_id": self.job_id}) File "/Users/galaxy/galaxy-dist/lib/pulsar/client/client.py", line 215, in _raw_execute return self.job_manager_interface.execute(command, args, data, input_path, output_path) File "/Users/galaxy/galaxy-dist/lib/pulsar/client/interface.py", line 96, in execute response = self.transport.execute(url, method=method, data=data, input_path=input_path, output_path=output_path) File "/Users/galaxy/galaxy-dist/lib/pulsar/client/transport/standard.py", line 34, in execute response = self._url_open(request, data) File "/Users/galaxy/galaxy-dist/lib/pulsar/client/transport/standard.py", line 20, in _url_open return urlopen(request, data) File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py", line 154, in urlopen return opener.open(url, data, timeout) File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py", line 437, in open response = meth(req, response) File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py", line 550, in http_response 'http', request, response, code, msg, hdrs) File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py", line 475, in error return self._call_chain(*args) File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py", line 409, in _call_chain result = func(*args) File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/urllib2.py", line 558, in http_error_default raise HTTPError(req.get_full_url(), code, msg, hdrs, fp) HTTPError: HTTP Error 500: Internal Server Error I am running 15.10 and Python 2.7.10 on my iMac for the server and the cluster submission node is running Pulsar 0.5.0 and Python 2.7.12 For these tests I run Pulsar in an interactive window so I have not set the sudoers file up, but rather enter sudo password when requested by Pulsar (at the first step of chowning the staging directory). Also have rewrites set up in Galaxy’s pulsar_actions.yml and I am using remote_scp for the file transfers rather than http - although I have also tried switching back to http (as I noticed caching, which I am also testing, does not work with scp transfers) but get an identical set of error messages. As I say, I have no troubles using a regular queued_drmaa manager in pulsar. Any ideas what the problem may be? Cheers, Rich Richard J Poole PhD Wellcome Trust Fellow Department of Cell and Developmental Biology University College London 518 Rockefeller 21 University Street, London WC1E 6DE Office (518 Rockefeller): +44 20 7679 6577 (int. 46577) Lab (529 Rockefeller): +44 20 7679 6133 (int. 46133) https://www.ucl.ac.uk/cdb/academics/poole

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Running jobs as real user and extra_file_path
by Louise-Amélie Schmitt 28 Apr '17

28 Apr '17

Hi everyone, I just wanted to ask how the extra_file_path is handled in case of job running as the real user since the file_path is only writable by the galaxy user. Any clue? Thanks, L-A

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Testing updated NCBI BLAST+ wrappers for version 2.5.0
by Peter Cock 19 Apr '17

19 Apr '17

Hello all, I have updated the NCBI BLAST+ wrappers on the Test Tool Shed, the wrapper is now at v0.2.00: https://testtoolshed.g2.bx.psu.edu/view/devteam/ncbi_blast_plus/ The main changes is this now depends on BLAST+ 2.5.0, and that is available via either BioConda or the Tool Shed: https://toolshed.g2.bx.psu.edu/view/iuc/package_blast_plus_2_5_0/ https://testtoolshed.g2.bx.psu.edu/view/iuc/package_blast_plus_2_5_0/ In order for the dependency to work smoothly on both BioConda and the Tool Shed system, we have changed the package name from "blast+" to just "blast". Given the NCBI stopped updated the original "legacy" BLAST some time ago, when combined with the version number this is no longer ambiguous. Jumping from using BLAST+ 2.2.31 to using BLAST+ 2.5.0 required updating lots of the test files for NCBI changes, including dropping the GI numbers in many outputs, expanding the percentage identity field from 2dp to 3dp, and also changing how -parse_deflines works with tabular output. The wrappers (deliberately) do not yet offer any new functionality added in the recent NCBI BLAST+ updates, in particular BLAST XML v2 is not yet available as an output with a datatype in Galaxy. At this point I would welcome feedback from those of you using the BLAST+ wrappers - including if you were able to install this with the dependencies from BioConda or the traditional Tool Shed packages. Once I'm confident that this is all OK, I will update the main Tool Shed (and think about adding new functionality in 2017). Thank you all, Peter

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installation error on venv dependencies.xml
by Linda Bakker 14 Mar '17

14 Mar '17

Hi All, I am having some problems with my tool dependencies to setup a python venv. Dependencies.xml looks like this: When i install my tool from the toolshed, it fails to install the venv dependency with this error message: I am not sure what the problem exactly seems to be. os.py should be a default python package right or do i need to specify it in the dependencies file? Can someone point me in the right direction of what the problem might be. Thanks! with regards , Linda Bakker -- Linda Bakker Bioinformatics Research Assistant Plant Research International, Wageningen UR Building 107 (Radix), room W1.Fa.054 Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands tel: +31-317-480756 email: linda.bakker(a)wur.nl

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Issue when using xsendfile with galaxy release_16.07
by SAPET, Frederic 28 Feb '17

28 Feb '17

Hello I'm trying the latest Galaxy (git status gives me : # On branch release_16.07) I've set the xsend option in galaxy.ini (in order to run Galaxy behind a web server proxy, and apply all methods described here : https://wiki.galaxyproject.org/Admin/Config/ApacheProxy) apache_xsendfile = True HTML, gff3,tabular files are just fine but the preview of some other files (txt, csv) is broken on the interface. When I want to preview a txt file : Not Found The requested URL /datasets/fd1df6a9052810d5/display/ was not found on this server. And apache says : [Thu Aug 18 15:33:48 2016] [error] [client 192.168.29.12] (13)Permission denied: xsendfile: cannot open file: /softs/bioinfo/galaxy-prod/database/files/000/dataset_19.dat, referer: http: But it looks like this is not really a problem related to access. Indeed, from the same file, I switch it from txt to tabular (edit attributes), the preview works. Are you able to reproduce the behavior ? The same problem occurs on release_16.01. It's fine with the release v15.05 which is my production server right now. Fred

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Blast db permission
by Mohamed Kassam 22 Feb '17

22 Feb '17

Dear all, I would like to know if it is possible to put permission on the macro.xml for ncbi-blast + database. For example if I want to show the db to one user and not to all. Best reagards, Mohamed

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Tools using Galaxy's Python library?
by Peter Cock 13 Feb '17

13 Feb '17

Hi all, A few of my tools have for a long time used Galaxy's own parsing functionality in order to avoid an external dependency. Lately this has stopped working on my TravisCI testing with planemo using the Galaxy dev branch (the stable master branch is fine): e.g. https://travis-ci.org/peterjc/pico_galaxy/builds/196655736 The tools fail with things like: | from galaxy_utils.sequence.fasta import fastaReader, fastaWriter | ImportError: No module named galaxy_utils.sequence.fasta or: | from galaxy_utils.sequence.fastq import fastqReader | ImportError: No module named galaxy_utils.sequence.fastq Is this a temporary regression in Galaxy, or a deliberate change? Do the tools need to do something to explicit have access to the Galaxy Python library, or are they now considered private? If so, I can update these tools to use an explicit dependency for parsing FASTA and FASTQ (e.g. Biopython). Thanks, Peter

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Vote for the Training you would like to see at GCC2017
by Dave Clements 07 Feb '17

07 Feb '17

Hello potential GCC2017 Attendees! The 2017 Galaxy Community Conference (GCC2017) <https://gcc2017.sciencesconf.org/> will be held 26-30 June, in Montpellier, France. GCC2017 training <https://gcc2017.sciencesconf.org/> will be held 27-28 June. *We need your vote to determine what to offer at GCC2017 training.* If there is even a remote chance that you will attend GCC2017 (it's in the South of France; it will be summer; don't let that influence your decision), then *please vote on which of the **34 nominated topics you would like to see offered at GCC2017.* *Vote Now! <https://docs.google.com/forms/d/e/1FAIpQLSdpkLoRuCGZOO3_T6dgRwFeDxVjb_zW-tl…>* 27 June will be single track and focus on how to use Galaxy for research. 28 June will have multiple tracks, and offer the full spectrum of Galaxy training. Vote for as many topics as you like, but please note that the more topics you vote for, the less your vote for each single topic will count. *Voting closes on 8 February.* Once that happens the organisers will scramble to confirm instructors and set a schedule. The training schedule will be posted before registration opens in February. The nominated topics this year are: - *Using Galaxy Topic Nominations <https://gcc2017.sciencesconf.org/resource/page/id/8#using>* 1. Galaxy 101 - A gentle introduction to Galaxy <https://gcc2017.sciencesconf.org/resource/page/id/8#galaxy_101> 2. Galaxy at scale <https://gcc2017.sciencesconf.org/resource/page/id/8#galaxy_at_scale> 3. Visualisation of BIG DATA in Galaxy <https://gcc2017.sciencesconf.org/resource/page/id/8#visualisation_of_big_da…> 4. GSuite HyperBrowser: integrative analysis of dataset collections across the genome and epigenome <https://gcc2017.sciencesconf.org/resource/page/id/8#gsuite_hyperbrowser> 5. ChIPseq analysis using DeepTools and MACS <https://gcc2017.sciencesconf.org/resource/page/id/8#chipseq> 6. RADseq Data Analysis Through STACKS on Galaxy <https://gcc2017.sciencesconf.org/resource/page/id/8#radseq> 7. RNAseq analysis in Galaxy <https://gcc2017.sciencesconf.org/resource/page/id/8#rnaseq> 8. Flow Cytometry Analysis with ImmPort Galaxy <https://gcc2017.sciencesconf.org/resource/page/id/8#flow_cytometry> 9. Metabolomics Analysis with Galaxy on W4M infrastructure <https://gcc2017.sciencesconf.org/resource/page/id/8#metabolomics> 10. How to analyze metagenomic and amplicon data in Galaxy? <https://gcc2017.sciencesconf.org/resource/page/id/8#metagenomics> 11. Galaxy for Proteomics <https://gcc2017.sciencesconf.org/resource/page/id/8#proteomics> 12. Processing and Analysis of Hi-C data using HiCExplorer <https://gcc2017.sciencesconf.org/resource/page/id/8#hic> 13. SNP analysis and GWAS using SNiPlay <https://gcc2017.sciencesconf.org/resource/page/id/8#snp> 14. Small genome de novo assembly using Galaxy <https://gcc2017.sciencesconf.org/resource/page/id/8#assembly> 15. Scripting Galaxy using the API and BioBlend <https://gcc2017.sciencesconf.org/resource/page/id/8#scripting> - *Deploying, Administering, and Extending Galaxy Topics <https://gcc2017.sciencesconf.org/resource/page/id/8#admin>* 1. Introduction to Galaxy admin: Setting up a Galaxy instance as a service <https://gcc2017.sciencesconf.org/resource/page/id/8#intro_admin> 2. Advanced customisation of a Galaxy instance <https://gcc2017.sciencesconf.org/resource/page/id/8#custom> 3. Advanced accelerated Galaxy admin <https://gcc2017.sciencesconf.org/resource/page/id/8#aaga> 4. How to use Galaxy Ansible Playbooks <https://gcc2017.sciencesconf.org/resource/page/id/8#ansible> 5. Testing Galaxy <https://gcc2017.sciencesconf.org/resource/page/id/8#testing> 6. Using and deploying your application to the cloud <https://gcc2017.sciencesconf.org/resource/page/id/8#cloud> 7. Galaxy Architecture <https://gcc2017.sciencesconf.org/resource/page/id/8#arch> 8. Writing & Publishing Galaxy Tools <https://gcc2017.sciencesconf.org/resource/page/id/8#tools_basic> 9. Advanced Topics in Galaxy Tool Development <https://gcc2017.sciencesconf.org/resource/page/id/8#tools_advanced> 10. Visualisation Development in Galaxy <https://gcc2017.sciencesconf.org/resource/page/id/8#viz_dep> 11. Adding support for new external sources <https://gcc2017.sciencesconf.org/resource/page/id/8#data_sources> 12. Conda and Containers for Tool Dependencies - A Developers Perspective <https://gcc2017.sciencesconf.org/resource/page/id/8#conda_dev> 13. Conda and Containers for Tool Dependencies - A Deployers Perspective <https://gcc2017.sciencesconf.org/resource/page/id/8#conda_dep> 14. Introduction to Galaxy Interactive Environments <https://gcc2017.sciencesconf.org/resource/page/id/8#ie_intro> 15. Advanced topics in Galaxy Interactive Environments <https://gcc2017.sciencesconf.org/resource/page/id/8#ie_adv> 16. Galaxy and Tripal - coupling Galaxy to a community database <https://gcc2017.sciencesconf.org/resource/page/id/8#tripal> 17. The Galaxy Genome Annotation project: Dockerized genome annotation environment based on Galaxy and GMOD tools <https://gcc2017.sciencesconf.org/resource/page/id/8#gap> 18. Using Hadoop with Galaxy <https://gcc2017.sciencesconf.org/resource/page/id/8#hadoop> - *Trainer Training Topics <https://gcc2017.sciencesconf.org/resource/page/id/8#trainer_training>* 1. Galaxy for Training and Education <https://gcc2017.sciencesconf.org/resource/page/id/8#galaxy_for_training> Please vote <https://docs.google.com/forms/d/e/1FAIpQLSdpkLoRuCGZOO3_T6dgRwFeDxVjb_zW-tl…>! Your participation helps make Galaxy Community Conferences the successful and community focused events that they are. And, thanks to everyone who nominated topics and/or contributed topic descriptions. Hope to see you in Montpellier! Dave Clements, on behalf of the GCC2017 Organising Committee -- http://galaxyproject.org/ http://getgalaxy.org/ http://usegalaxy.org/ https://wiki.galaxyproject.org/

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Request more details from Nikolaos Tur about pyBamTools & pyBamParser dependency packages message
by Jennifer Hsieh 07 Feb '17

07 Feb '17

Hi, I've installed a local instance of Galaxy (on Ubuntu 16.04, python 2.7.12) and have run in to this exact problem (posted by Nikolaos Tur https://www.mail-archive.com/galaxy-dev@lists.galaxyproject.org/msg03955.ht… ) while trying to add naive_variant_caller tool. Naive_variant_caller can't install because these two dependency packages can't be installed. I basically get exactly the same error message that ends with "IOError: Could not build the egg." Unfortunately I'm very new to both Galaxy and Python (Taking Coursera Galaxy course at the moment) and I don't really understand the solution Nikolaos described about modifying the setup.py to use "setuptools" instead of "distribute". I don't even know where to find setup.py... Can anyone help me with step-by-step details as to how to solve this dependency problem? Much Thanks! -- Jennifer Hsieh PhD Neuroscience (student) Department of Psychiatry and Mental Health University of Cape Town Tell: +27 21 447 3157 Cell: +27 74 841 4761

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