I forgot to point out the needs of sharing folders and checking the UID/GID
of the galaxy user between your systems (and his access to SGE).
Remy
2016-01-20 16:00 GMT+01:00 Rémy Dernat :
> Hi Eric,
>
> Here we use both solutions: Galaxy and RocksCluster. In Galaxy, you have
>
On Wed, Jan 20, 2016 at 2:43 PM, Gildas Le Corguillé
wrote:
> Hi,
>
> A long time ago, in a far far svn repo, we did this "multiple=true" on Peter
> wrappers.
>
> I will try to propose it quickly :)
>
> Gildas
Great - a pull request against
Hi,
I was wondering if creating data collection of collection_type="list:list"
is possible? Because I can see only list, pair and list of pairs options
available.
Why I am asking this question is because I saw this snippet from cuffdiff
tool which includes collection_type="list:list" as below.
list:list (as well as list:list:paired, list:list:list, etc...) can be
created via the API or using tools. As an example of the second - if
you had a tool that took in a dataset and split it into a list and
then mapped a list over that tool - Galaxy would produce a list:list
output from the
Thanks, Remy. I went through the cluster documentation and our Rocks
environment seems to be configured properly, after all.
It appears that my issue may be related to the UCSC Main table browser.
The jobs that Galaxy reports have failed are leaving the
job_working_directory behind, with
Even if you just have two servers, I would strongly recommend you
setup a cluster distributed resource manager (DRM) like SLURM, PBS, or
Condor and ensuring there exists a shared file system between Galaxy
and the node running the jobs. You wouldn't even need to use the CLI
job runner - you could
Hi Matthias:
I think it’s abandoned, I’ve tried to use it with no success.
I think it should be brought up to date or be removed to save people from
wasting time trying to get it working.
Brad
--
Brad Langhorst, Ph.D.
Development Scientist
New England Biolabs
> On Jan 20, 2016, at 3:06 AM,
On Wed, Jan 20, 2016 at 9:19 AM, Floreline TOUCHARD
wrote:
> Hi,
>
> I would like to add some tools of the EMBOSS suite (6.6.0) to my Galaxy
> instance. It seems that the only wrapper available for Galaxy is for the
> 5.0.0 version
>
Hi there
We've just finished provisioning a new Galaxy server here using the
ansible-galaxy and ansible-galaxy-extras roles, with some extra roles from
Nate and our own creation. In the ansible-galaxy role Galaxy's install
location is set using the galaxy_server_dir variable, but in
Hi, John, Dan, Carrie and all others,
I am considering a task of setting up a Galaxy instance which shall send jobs
to more than on cluster at a time. In my case I am using drmaa-python and I was
wondering if it was possible to configure multiple drmaa runners each
"pointing" at a different
Dear All
Our production Galaxy server has been running smoothly on a single
multicore box with Red Hat 6.7. As this box gets older and older, it is
in now time to replace it.
At the same time, we are also considering switching the operating system
to CentOS 7. Has anyone switched a
On Wed, Jan 20, 2016 at 2:22 PM, Floreline TOUCHARD
wrote:
> Thanks for the answer !
>
> I compared the two versions of tools. It does not seem to be any major
> differences indeed. I added these tools to my instance successfully.
Great :)
> Additional options in
Hello Matthias,
As you correctly identified the original implementation, in spite of being
present in the Galaxy distribution, is treated as deprecated.
However I know about three sample tracking implementation based on Galaxy's
old sample tracking.
- *TRON Mainz*
Hi,
A long time ago, in a far far svn repo, we did this "multiple=true" on Peter
wrappers.
I will try to propose it quickly :)
Gildas
-
Gildas Le Corguillé - Bioinformatician/Bioanalyste
Plateforme ABiMS (Analyses and
Thanks for the answer !
I compared the two versions of tools. It does not seem to be any major
differences indeed. I added these tools to my instance successfully.
Additional options in version 6 are not to be integrate to my Galaxy
instance immediately. I will update my XML file later if need
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