January 2011 - galaxy-dev - lists.galaxyproject.org

Changeset discrepancies
by lentaing＠jimmy.harvard.edu 24 Jan '11

24 Jan '11

Hi Galaxy Team, I noticed that the main galaxy site is up to changeset 4919, but the Mecurial repository (http://www.bx.psu.edu/hg/galaxy) is only up to changeset 4640. Why is there a discrepancy? Did the repository move? Thanks, Len

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Re: [galaxy-dev] "interval" attribute for Input?: error in exec_pre_job hook
by Sonali Amonkar 24 Jan '11

24 Jan '11

Hi, What I am trying is, A) to write an exec_after_process for tool1(Scatterer tool). This tool1 gives multiple outputs(in the form of files names generated by Galaxy). ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ scatterer_postprocess.py def exec_after_process(app, inp_data, out_data, param_dict, tool, stdout, stderr): print "Collected Dataset[Primary] is %s"% param_dict.get('__collected_datasets__')['primary']['output1']; Output: Collected Dataset[Primary] is {'output2': <galaxy.model.HistoryDatasetAssociation object at 0xb0648ac>, 'output3': <galaxy.model.HistoryDatasetAssociation object at 0xb15170c>, 'output4': <galaxy.model.HistoryDatasetAssociation object at 0xaf499ac>} ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ I could see these values successfully. Next, B) I wanted to view these multiple values in the exec_prejob hook of tool2(Gatherer) ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ gatherer_prejob.py def exec_before_job(inp_data, out_data, param_dict, tool): print "******************* collected dataset is %s"% param_dict.get('__collected_datasets__')['primary']['output1']; Output: TypeError: Error in 'Gather' hook 'exec_before_job', original message: exec_before_job() got multiple values for keyword argument 'inp_data' ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ I am not very savy with Python for now. Can someone point me out to any possible resolution to this issue. The reason I am writing these hooks is to read the multiple inputs in tool2 thrown out by tool1. Thank you for your time. Regards, Sonali Amonkar From: Sonali Amonkar Sent: Friday, January 21, 2011 8:16 PM To: 'galaxy-dev(a)lists.bx.psu.edu' Subject: "interval" attribute for Input? Hi, Currently I am building a workflow which splits a file into multiple chunks and then recreates it back into one. Following the document on https://bitbucket.org/galaxy/galaxy-central/wiki/ToolsMultipleOutput, I wrote the following code. The following is my Splitter tool: <tool id="sc" name="sc" version = "1.0.0" force_history_refresh="True"> <description> My tool 1 </description> <requirements/> <command>java -cp /Splitter1.jar /Common.jar SplitterModule $input $output1 $output1.id $__new_file_path__</command> <inputs> <param format="txt" name="input" type="data" label="reads"> <label>Reads</label> </param> </inputs> <outputs> <data format="interval" name="output1" metadata_source="input"/> </outputs> <help> </help> </tool> The following is my Integrator tool: <tool id="gt" name="gt" version = "1.0.0"> <description> My Tool 2 </description> <requirements/> <command> java -cp Integrator1.jar:Common.jar IntegratorModule $input $output </command> <inputs> <param format="interval" name="input" type="data" label="pp"> <label>File Name</label> </param> </inputs> <outputs> <data format="text" name="output"/> </outputs> <help> This tool reads the reads.pp.txt file and creates smaller sized batches of it. </help> </tool> When I try to connect and run the workflow, this is what happens: 1. The files with the names generated from the parameters are created in the tmp folder temporarily 2. Then these are removed and converted to .dat files and placed in database/files/000 folder with the galaxy generated numbers file names.(eg. dataset_89.dat) 3. However, when I check the parameters in the IntegratorModule program, I receive new dataset files generated by Galaxy and NOT the ones which were created and should have been passed from the Splitter module Is there a format I need to follow when writing the Integrator Module's input parameters? Any pointer to any document which mentions this will be helpful. Thank you for your time. Warm Regards, Sonali Amonkar DISCLAIMER ========== This e-mail may contain privileged and confidential information which is the property of Persistent Systems Ltd. It is intended only for the use of the individual or entity to which it is addressed. If you are not the intended recipient, you are not authorized to read, retain, copy, print, distribute or use this message. If you have received this communication in error, please notify the sender and delete all copies of this message. Persistent Systems Ltd. does not accept any liability for virus infected mails.

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"interval" attribute for Input?
by Sonali Amonkar 21 Jan '11

21 Jan '11

Hi, Currently I am building a workflow which splits a file into multiple chunks and then recreates it back into one. Following the document on https://bitbucket.org/galaxy/galaxy-central/wiki/ToolsMultipleOutput, I wrote the following code. The following is my Splitter tool: <tool id="sc" name="sc" version = "1.0.0" force_history_refresh="True"> <description> My tool 1 </description> <requirements/> <command>java -cp /Splitter1.jar /Common.jar SplitterModule $input $output1 $output1.id $__new_file_path__</command> <inputs> <param format="txt" name="input" type="data" label="reads"> <label>Reads</label> </param> </inputs> <outputs> <data format="interval" name="output1" metadata_source="input"/> </outputs> <help> </help> </tool> The following is my Integrator tool: <tool id="gt" name="gt" version = "1.0.0"> <description> My Tool 2 </description> <requirements/> <command> java -cp Integrator1.jar:Common.jar IntegratorModule $input $output </command> <inputs> <param format="interval" name="input" type="data" label="pp"> <label>File Name</label> </param> </inputs> <outputs> <data format="text" name="output"/> </outputs> <help> This tool reads the reads.pp.txt file and creates smaller sized batches of it. </help> </tool> When I try to connect and run the workflow, this is what happens: 1. The files with the names generated from the parameters are created in the tmp folder temporarily 2. Then these are removed and converted to .dat files and placed in database/files/000 folder with the galaxy generated numbers file names.(eg. dataset_89.dat) 3. However, when I check the parameters in the IntegratorModule program, I receive new dataset files generated by Galaxy and NOT the ones which were created and should have been passed from the Splitter module Is there a format I need to follow when writing the Integrator Module's input parameters? Any pointer to any document which mentions this will be helpful. Thank you for your time. Warm Regards, Sonali Amonkar DISCLAIMER ========== This e-mail may contain privileged and confidential information which is the property of Persistent Systems Ltd. It is intended only for the use of the individual or entity to which it is addressed. If you are not the intended recipient, you are not authorized to read, retain, copy, print, distribute or use this message. If you have received this communication in error, please notify the sender and delete all copies of this message. Persistent Systems Ltd. does not accept any liability for virus infected mails.

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API connection error
by Paszkiewicz, Konrad 20 Jan '11

20 Jan '11

Dear all, I'm getting the following error when trying to follow the instructions in the API README file. Universe_wsgi.ini is pasted below. [galaxy@zeus api]$ ./display.py c43c7605ba60633a2ed60f46c12f354e http://zeus.ex.ac.uk:4000/api/libraries <urlopen error (111, 'Connection refused')> Any suggestions would be very welcome. All the very best, Konrad. Dr Konrad Paszkiewicz Exeter Sequencing Service & Exeter Bioinformatics Service Biosciences, College of Life and Environmental Sciences University of Exeter Exeter EX4 4QD. http://biosciences.exeter.ac.uk/facilities/sequencing/illumina/ http://biosciences.exeter.ac.uk/facilities/exbiss/ # # Galaxy is configured by default to be useable in a single-user development # environment. To tune the application for a multi-user production # environment, see the documentation at: # # http://bitbucket.org/galaxy/galaxy-central/wiki/Config/ProductionServer # # Throughout this sample configuration file, except where stated otherwise, # uncommented values override the default if left unset, whereas commented # values are set to the default value. # examples of many of these options are explained in more detail in the wiki: # # Config hackers are encouraged to check there before asking for help. # ---- HTTP Server ---------------------------------------------------------- # Configuration of the internal HTTP server. [server:main] # The internal HTTP server to use. Currently only Paste is provided. This # option is required. use = egg:Paste#http # The port on which to listen. port = 4000 #port = 80 # The address on which to listen. By default, only listen to localhost (Galaxy # will not be accessible over the network). Use '0.0.0.0' to listen on all # available network interfaces. host = 144.173.143.28 # Use a threadpool for the web server instead of creating a thread for each # request. use_threadpool = True # Number of threads in the web server thread pool. #threadpool_workers = 10 # ---- Filters -------------------------------------------------------------- # Filters sit between Galaxy and the HTTP server. # These filters are disabled by default. They can be enabled with # 'filter-with' in the [app:main] section below. # Define the gzip filter. [filter:gzip] use = egg:Paste#gzip # Define the proxy-prefix filter. [filter:proxy-prefix] use = egg:PasteDeploy#prefix prefix = /galaxy # ---- Galaxy --------------------------------------------------------------- # Configuration of the Galaxy application. [app:main] # -- Application and filtering # The factory for the WSGI application. This should not be changed. paste.app_factory = galaxy.web.buildapp:app_factory # If not running behind a proxy server, you may want to enable gzip compression # to decrease the size of data transferred over the network. If using a proxy # server, please enable gzip compression there instead. #filter-with = gzip # If running behind a proxy server and Galaxy is served from a subdirectory, # enable the proxy-prefix filter and set the prefix in the # [filter:proxy-prefix] section above. #filter-with = # If proxy-prefix is enabled and you're running more than one Galaxy instance # behind one hostname, you will want to set this to the same path as the prefix # in the filter above. This value becomes the "path" attribute set in the # cookie so the cookies from each instance will not clobber each other. #cookie_path = None # -- Database # By default, Galaxy uses a SQLite database at 'database/universe.sqlite'. You # may use a SQLAlchemy connection string to specify an external database # instead. This string takes many options which are explained in detail in the # config file documentation. database_connection = mysql://galaxy@localhost/galaxy?unix_socket=/var/lib/mysql/mysql.sock #database_connection = sqlite:///./database/universe.sqlite?isolation_level=IMMEDIATE # If the server logs errors about not having enough database pool connections, # you will want to increase these values, or consider running more Galaxy # processes. #database_engine_option_pool_size = 5 #database_engine_option_max_overflow = 10 # If using MySQL and the server logs the error "MySQL server has gone away", # you will want to set this to some positive value (7200 should work). #database_engine_option_pool_recycle = -1 # If large database query results are causing memory or response time issues in # the Galaxy process, leave the result on the server instead. This option is # only available for PostgreSQL and is highly recommended. #database_engine_option_server_side_cursors = False # Create only one connection to the database per thread, to reduce the # connection overhead. Recommended when not using SQLite: #database_engine_option_strategy = threadlocal # Log all database transactions, can be useful for debugging and performance # profiling. Logging is done via Python's 'logging' module under the qualname # 'galaxy.model.orm.logging_connection_proxy' #database_query_profiling_proxy = False # -- Files and directories # Dataset files are stored in this directory. #file_path = database/files # Temporary files are stored in this directory. #new_file_path = database/tmp # Tool config file, defines what tools are available in Galaxy. #tool_config_file = tool_conf.xml # Path to the directory containing the tools defined in the config. #tool_path = tools # Directory where data used by tools is located, see the samples in that # directory and the wiki for help: # http://bitbucket.org/galaxy/galaxy-central/wiki/DataIntegration #tool_data_path = tool-data # Datatypes config file, defines what data (file) types are available in # Galaxy. #datatypes_config_file = datatypes_conf.xml # Each job is given a unique empty directory as its current working directory. # This option defines in what parent directory those directories will be # created. #job_working_directory = database/job_working_directory # If using a cluster, Galaxy will write job scripts and stdout/stderr to this # directory. #cluster_files_directory = database/pbs # Sequencer types config file, defines what types of sequencers configurations # are available in Galaxy. sequencer_type_config_file = sequencer_types_conf.xml # Path to the directory containing the sequencer_types defined in the config. sequencer_type_path = sequencer_types # -- Mail and notification # Galaxy sends mail for various things: Subscribing users to the mailing list # if they request it, emailing password resets, notification from the Galaxy # Sample Tracking system, and reporting dataset errors. To do this, it needs # to send mail through an SMTP server, which you may define here. smtp_server = mail.ex.ac.uk # On the user registration form, users may choose to join the mailing list. # This is the address of the list they'll be subscribed to. #mailing_join_addr = galaxy-user-join(a)bx.psu.edu # Datasets in an error state include a link to report the error. Those reports # will be sent to this address. Error reports are disabled if no address is set. #error_email_to = None # -- Display sites # Galaxy can display data at various external browsers. These options specify # which browsers should be available. URLs and builds available at these # browsers are defined in the specifield files. # UCSC browsers: tool-data/shared/ucsc/ucsc_build_sites.txt #ucsc_display_sites = main,test,archaea,ucla # GBrowse servers: tool-data/shared/gbrowse/gbrowse_build_sites.txt #gbrowse_display_sites = wormbase,tair,modencode_worm,modencode_fly # GeneTrack servers: tool-data/shared/genetrack/genetrack_sites.txt #genetrack_display_sites = main,test # -- UI Localization # Append "/{brand}" to the "Galaxy" text in the masthead. brand = Exeter SysBio # The URL linked by the "Galaxy/brand" text. #logo_url = / # The URL linked by the "Galaxy Wiki" link in the "Help" menu. #wiki_url = http://bitbucket.org/galaxy/galaxy-central/wiki # The URL linked by the "Email comments..." link in the "Help" menu. #bugs_email = mailto:galaxy-bugs@bx.psu.edu # The URL linked by the "How to Cite..." link in the "Help" menu. #citation_url = http://bitbucket.org/galaxy/galaxy-central/wiki/Citations # Serve static content, which must be enabled if you're not serving it via a # proxy server. These options should be self explanatory and so are not # documented individually. You can use these paths (or ones in the proxy # server) to point to your own styles. static_enabled = True static_cache_time = 360 static_dir = %(here)s/static/ static_images_dir = %(here)s/static/images static_favicon_dir = %(here)s/static/favicon.ico static_scripts_dir = %(here)s/static/scripts/ static_style_dir = %(here)s/static/june_2007_style/blue # -- Advanced proxy features # For help on configuring the Advanced proxy features, see: # http://usegalaxy.org/production # Apache can handle file downloads (Galaxy-to-user) via mod_xsendfile. Set # this to True to inform Galaxy that mod_xsendfile is enabled upstream. #apache_xsendfile = False # The same download handling can be done by nginx using X-Accel-Redirect. This # should be set to the path defined in the nginx config as an internal redirect # with access to Galaxy's data files (see documentation linked above). #nginx_x_accel_redirect_base = False # nginx can make use of mod_zip to create zip files containing multiple library # files. If using X-Accel-Redirect, this can be the same value as that option. #nginx_x_archive_files_base = False # If using compression in the upstream proxy server, use this option to disable # gzipping of library .tar.gz and .zip archives, since the proxy server will do # it faster on the fly. #upstream_gzip = False # nginx can also handle file uploads (user-to-Galaxy) via nginx_upload_module. # Configuration for this is complex and explained in detail in the # documentation linked above. The upload store is a temporary directory in # which files uploaded by the upload module will be placed. #nginx_upload_store = False # This value overrides the action set on the file upload form, e.g. the web # path where the nginx_upload_module has been configured to intercept upload # requests. #nginx_upload_path = False # -- Logging and Debugging # Settings for Next gen LIMS interface on top of existing Galaxy Sample/Request # management code. use_nglims=True nglims_config_file=tool-data/nglims.yaml # Verbosity of console log messages. Acceptable values can be found here: # http://docs.python.org/library/logging.html#logging-levels log_level = DEBUG # Print database operations to the server log (warning, quite verbose!). database_engine_option_echo = False # Print database pool operations to the server log (warning, quite verbose!). database_engine_option_echo_pool = False # Turn on logging of application events and some user events to the database. log_events = False # Turn on logging of user actions to the database. Actions currently logged are # grid views, tool searches, and use of "recently" used tools menu. The # log_events and log_actions functionality will eventually be merged. log_actions = False # Debug enables access to various config options useful for development and # debugging: use_lint, use_profile, use_printdebug and use_interactive. It # also causes the files used by PBS/SGE (submission script, output, and error) # to remain on disk after the job is complete. Debug mode is disabled if # commented, but is uncommented by default in the sample config. debug = True # Check for WSGI compliance. #use_lint = False # Run the Python profiler on each request. #use_profile = False # Intercept print statements and show them on the returned page. #use_printdebug = True # Enable live debugging in your browser. This should NEVER be enabled on a # public site. Enabled in the sample config for development. use_interactive = False # Write thread status periodically to 'heartbeat.log', (careful, uses disk # space rapidly!). Useful to determine why your processes may be consuming a # lot of CPU. #use_heartbeat = False # Enable the memory debugging interface (careful, negatively impacts server # performance). #use_memdump = False # -- Data Libraries # These library upload options are described in much more detail in the wiki: # http://bitbucket.org/galaxy/galaxy-central/wiki/DataLibraries/UploadingFiles # Add an option to the library upload form which allows administrators to # upload a directory of files. library_import_dir = /users/galaxy/test # Add an option to the library upload form which allows authorized # non-administrators to upload a directory of files. The configured directory # must contain sub-directories named the same as the non-admin user's Galaxy # login ( email ). The non-admin user is restricted to uploading files or # sub-directories of files contained in their directory. #user_library_import_dir = None # Add an option to the admin library upload tool allowing admins to paste # filesystem paths to files and directories in a box, and these paths will be # added to a library. Set to True to enable. Please note the security # implication that this will give Galaxy Admins access to anything your Galaxy # user has access to. allow_library_path_paste = True # Users may choose to download multiple files from a library in an archive. By # default, Galaxy allows users to select from a few different archive formats # if testing shows that Galaxy is able to create files using these formats. # Specific formats can be disabled with this option, separate more than one # format with commas. Available formats are currently 'zip', 'gz', and 'bz2'. #disable_library_comptypes = # Some sequencer integration features in beta allow you to automatically # transfer datasets. This is done using a lightweight transfer manager which # runs outside of Galaxy (but is spawned by it automatically). Galaxy will # communicate with this manager over the port specified here. transfer_manager_port = 5672 # -- Users and Security # Galaxy encodes various internal values when these values will be output in # some format (for example, in a URL or cookie). You should set a key to be # used by the algorithm that encodes and decodes these values. It can be any # string. If left unchanged, anyone could construct a cookie that would grant # them access to others' sessions. id_secret = Myoldman1928327 # User authentication can be delegated to an upstream proxy server (usually # Apache). The upstream proxy should set a REMOTE_USER header in the request. # Enabling remote user disables regular logins. For more information, see: # http://bitbucket.org/galaxy/galaxy-central/wiki/Config/ApacheProxy #use_remote_user = False # If use_remote_user is enabled and your external authentication # method just returns bare usernames, set a default mail domain to be appended # to usernames, to become your Galaxy usernames (email addresses). #remote_user_maildomain = None # If use_remote_user is enabled, you can set this to a URL that will log your # users out. #remote_user_logout_href = None # Administrative users - set this to a comma-separated list of valid Galaxy # users (email addresses). These users will have access to the Admin section # of the server, and will have access to create users, groups, roles, # libraries, and more. For more information, see: # http://bitbucket.org/galaxy/galaxy-central/wiki/Admin/AdminInterface admin_users = k.h.paszkiewicz@ex.ac.uk,test@gmail.com # Force everyone to log in (disable anonymous access). require_login = True # Allow unregistered users to create new accounts (otherwise, they will have to # be created by an admin). allow_user_creation = True # Email administrators when a new user account is created # You also need to have smtp_server set for this to work. # new_user_email_admin = False # Allow administrators to delete accounts. #allow_user_deletion = False # By default, users' data will be public, but setting this to True will cause # it to be private. Does not affect existing users and data, only ones created # after this option is set. Users may still change their default back to # public. new_user_dataset_access_role_default_private = True # -- Beta features # Enable Galaxy to communicate directly with a sequencer enable_sequencer_communication = False # Enable Galaxy's built-in visualization module, Trackster. enable_tracks = True # Enable Galaxy Pages. Pages are custom webpages that include embedded Galaxy items, # such as datasets, histories, workflows, and visualizations; pages are useful for # documenting and sharing multiple analyses or workflows. Pages are created using a # WYSIWYG editor that is very similar to a word processor. enable_pages = True # Enable authentication via OpenID. Allows users to log in to their Galaxy # account by authenticating with an OpenID provider. #enable_openid = False # Enable the (experimental! beta!) Web API. Documentation forthcoming. enable_api = True # Enable Galaxy's "Upload via FTP" interface. You'll need to install and # configure an FTP server (we've used ProFTPd since it can use Galaxy's # database for authentication) and set the following two options. # This should point to a directory containing subdirectories matching users' # email addresses, where Galaxy will look for files. #ftp_upload_dir = None # This should be the hostname of your FTP server, which will be provided to # users in the help text. #ftp_upload_site = None # -- Job Execution # If running multiple Galaxy processes, one can be designated as the job # runner. For more information, see: # http://bitbucket.org/galaxy/galaxy-central/wiki/Config/WebApplicationScaling enable_job_running = True # Should jobs be tracked through the database, rather than in memory. # Necessary if you're running the load balanced setup. track_jobs_in_database = True # This enables splitting of jobs into tasks, if specified by the particular tool config. # This is a new feature and not recommended for production servers yet. #use_tasked_jobs = False #local_task_queue_workers = 2 # Enable job recovery (if Galaxy is restarted while cluster jobs are running, # it can "recover" them when it starts). This is not safe to use if you are # running more than one Galaxy server using the same database. enable_job_recovery = True # Setting metadata on job outputs to in a separate process (or if using a # cluster, on the cluster). Thanks to Python's Global Interpreter Lock and the # hefty expense that setting metadata incurs, your Galaxy process may become # unresponsive when this operation occurs internally. #set_metadata_externally = False # Although it is fairly reliable, setting metadata can occasionally fail. In # these instances, you can choose to retry setting it internally or leave it in # a failed state (since retrying internally may cause the Galaxy process to be # unresponsive). If this option is set to False, the user will be given the # option to retry externally, or set metadata manually (when possible). #retry_metadata_internally = True # If (for example) you run on a cluster and your datasets (by default, # database/files/) are mounted read-only, this option will override tool output # paths to write outputs to the working directory instead, and the job manager # will move the outputs to their proper place in the dataset directory on the # Galaxy server after the job completes. outputs_to_working_directory = True # Number of concurrent jobs to run (local job runner) local_job_queue_workers = 3 # Jobs can be killed after a certain amount of execution time. Format is in # hh:mm:ss. Currently only implemented for PBS. #job_walltime = None # Jobs can be killed if any of their outputs grow over a certain size (in # bytes). 0 for no limit. #output_size_limit = 0 # Clustering Galaxy is not a straightforward process and requires some # pre-configuration. See the the wiki before attempting to set any of these # options: # http://bitbucket.org/galaxy/galaxy-central/wiki/Config/Cluster # Comma-separated list of job runners to start. local is always started. If # left commented, no jobs will be run on the cluster, even if a cluster URL is # explicitly defined in the [galaxy:tool_runners] section below. The runners # currently available are 'pbs' and 'drmaa'. start_job_runners = drmaa # The URL for the default runner to use when a tool doesn't explicitly define a # runner below. default_cluster_job_runner = drmaa:// -q serial.q/ # The cluster runners have their own thread pools used to prepare and finish # jobs (so that these sometimes lengthy operations do not block normal queue # operation). The value here is the number of worker threads available to each # started runner. cluster_job_queue_workers = 3 # These options are only used when using file staging with PBS. #pbs_application_server = #pbs_stage_path = #pbs_dataset_server = # ---- Tool Job Runners ----------------------------------------------------- # Individual per-tool job runner overrides. If not listed here, a tool will # run with the runner defined with default_cluster_job_runner. [galaxy:tool_runners] biomart = local:/// encode_db1 = local:/// hbvar = local:/// microbial_import1 = local:/// ucsc_table_direct1 = local:/// ucsc_table_direct_archaea1 = local:/// ucsc_table_direct_test1 = local:/// upload1 = local:/// biomart = local:/// encode_db1 = local:/// hbvar = local:/// microbial_import1 = local:/// ucsc_table_direct1 = local:/// # ---- Galaxy Message Queue ------------------------------------------------- # Galaxy uses AMQ protocol to receive messages from external sources like # bar code scanners. Galaxy has been tested against RabbitMQ AMQP implementation. # For Galaxy to receive messages from a message queue the RabbitMQ server has # to be set up with a user account and other parameters listed below. The 'host' # and 'port' fields should point to where the RabbitMQ server is running. [galaxy_amqp] host = zeus.ex.ac.uk port = 5672 userid = galaxy password = galaxy virtual_host = galaxy_messaging_engine queue = galaxy_queue exchange = galaxy_exchange routing_key = bar_code_scanner rabbitmqctl_path = /users/galaxy/rabbitmq_server-2.2.0/ api_key = c43c7605ba60633a2ed60f46c12f354e

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Mark Your Calendars: Galaxy Developers Conference 25-26 May 2011, in the Netherlands
by Dave Clements 19 Jan '11

19 Jan '11

Hello all, This year's Galaxy Developers Conference will be held May 25-26, 2011 in the Netherlands. The meeting will feature two full days of presentations, workshops, and conversations by and for Galaxy community members. Please mark your calendars. We are in the final stages of making arrangements, and a full meeting announcement will be published in the coming weeks. Thanks, Dave C. -- http://usegalaxy.org/

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Re: [galaxy-dev] [galaxy-bugs] cuffdiff replicates
by Jeremy Goecks 18 Jan '11

18 Jan '11

> > How do I go about submitting a patch to the project? I added support for > quartile normalization to cufflinks and cuffdiff and I'll add the option to > include replicates with cuffdiff next. That's good news Rory. You can submit patches one of two ways: (1) Set up a fork/patchqueue of Galaxy in bitbucket and send links to major changesets/patches; or (2) Send the patch file. You can create a patch file of your changes from the galaxy-central directory as follows: % hg diff > my_patch_name.patch For larger and/or ongoing patches, (1) is highly preferred to (2). Please submit all patches to galaxy-dev(a)bx.psu.edu (cc'd), which is the mailing list for local community development and installation. You may also find the list useful for discussing questions or ideas you may have. Thanks, J.

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Full-text data library searching
by Brad Chapman 18 Jan '11

18 Jan '11

Hi all; This weekend I worked on full-text search of data libraries. Kimberly had mentioned it earlier on the list and issue 418 is tracking the enhancement suggestion: https://bitbucket.org/galaxy/galaxy-central/issue/418/extend-search-capabil… I decided to tackle the hardest issue first -- full text searching of data library items -- with the idea of putting a framework in place that could then be extended and finalized. The approach used separates indexing and search functionality from Galaxy itself; two configurable URLs are called: fulltext_index_url = http://localhost:8090/index fulltext_find_url = http://localhost:8090/find The first gets passed a CSV file of identifiers and files to be indexed, and the second retrieves the IDs based on a search term. A small server uses Lucene on the backend to do all the full-text indexing and lookup: https://github.com/chapmanb/kwd-doc-find This is meant to be easy to setup and run, but a default Galaxy-only installation could also implement the index and search itself to provide much simpler functionality that searches against filenames or descriptions of library items. For a pure Galaxy default, Whoosh looks promising: https://bitbucket.org/mchaput/whoosh/wiki/Home On the Galaxy side, there are two patches. The first is a script that prepares a file for indexing and submit it to the index URL. This would be run from a cronjob to keep the indexes fresh: https://bitbucket.org/chapmanb/galaxy-central/changeset/b47d1bfa52da The second uses the search box in the top level Data Library grid to do full searching of library items. It reuses all the display and permissions machinery, making adjustments to handle displaying a set of collected search result files: https://bitbucket.org/chapmanb/galaxy-central/changeset/c038fd24cf48 This is working well here and scaled nicely to ~1000 items in our current data library. I have several ideas for enhancements after this initial version, but thought I would first discuss with the Galaxy team to see if this is of interest and takes a reasonable approach. If so, the easiest working strategy would be for me to submit patches to the bug report that y'all could check and approve so I could stay in sync with galaxy-central as much as possible. The two above should apply cleanly now (with a couple of stray nglims configuration lines in the first; sorry) and we could build off of that. Happy to hear any thoughts or feedback. Thanks, Brad

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Re: [galaxy-dev] EMBOSS
by Kelly Vincent 14 Jan '11

14 Jan '11

Rob, When you start the Galaxy server, it looks in tool_conf.xml for which tools to load. Note that functional tests use tool_conf.xml.sample, and we leave the EMBOSS tools commented out in that file, so your tool_conf.xml file will still have them commented out if you haven't changed that. Uncomment the relevant lines and the EMBOSS tools should show up. After making changes to tool_conf.xml, you'll have to restart the server. Let us know if you have any further questions, and thanks for using Galaxy. (Also, note that this message is more appropriate for galaxy-dev, since it's about a local installation and not our public instance, so I'm CCing that list. Feel free to subscribe at http://lists.bx.psu.edu/listinfo/galaxy-dev.) Regards, Kelly > > From: "Rob Klose" <rob.klose(a)bioch.ox.ac.uk> > Date: January 14, 2011 11:04:11 AM EST > To: <galaxy-bugs(a)bx.psu.edu> > Subject: EMBOSS > > > To whom it may concern. > > I’m running galaxy locally on my linux machine. I noticed the web > based galaxy provides a nice GUI for EMBOSS. I don’t see this tool > on my local installation tools setion. I was wondering if can be > installed for my local usage and how to do this. > > Best wishes > > Rob Klose > > > > > From: galaxy-bugs-request(a)lists.bx.psu.edu > Date: January 14, 2011 11:04:17 AM EST > Subject: confirm fd3a7b309a2f036c4da6fb909afaad912f2fc37f > > > If you reply to this message, keeping the Subject: header intact, > Mailman will discard the held message. Do this if the message is > spam. If you reply to this message and include an Approved: header > with the list password in it, the message will be approved for posting > to the list. The Approved: header can also appear in the first line > of the body of the reply. >

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Restricting Galaxy to particualt users or IP addresses
by Ben Passarelli 13 Jan '11

13 Jan '11

Can Galaxy be restricted to specific users? Can it be integrated with Kerberos authentication? Can it be easily restricted to certain IP addresses or IP ranges?

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bowtie hanging after execution
by Branden Timm 13 Jan '11

13 Jan '11

Hi All, I am seeing a strange problem with Galaxy and bowtie. Here is the scenario: 1) I run bowtie for Illumina data (bowtie 0.12.5 Linux x86_64) on a fastqsanger input generated by FASTQ-Groomer 2) On the system, I see the bowtie_wrapper and bowtie subprocesses start, with bowtie distributing across the four cores in the system 3) The bowtie and bowtie_wrapper processes stop a few minutes later, but the history item still shows that it is running. This happens for about 20 minutes. Paster.log show constant POST history_item_updates activities every three seconds, and the Galaxy server process itself hogs 100% of one of the system's cores. I've tried this both on our production galaxy site (RHEL 5.5, Python 2.4.3) and my local workstation (RHEL 6, Python 2.6.5). As part of my troubleshooting, I've extracted the bowtie_wrapper command from paster.log and run it on the command line. The tool completes successfully in a few minutes, which confirms that the Galaxy server process seems to be the culprit in this situation, not bowtie_wrapper. Any help would be greatly appreciated. Cheers -- Branden Timm University of Wisconsin Great Lakes Bioenergy Research Center btimm(a)glbrc.wisc.edu

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