Running the TPP docker image
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| As mentioned above, this may be slow the first time it is run. Subsequent runs should be considerably faster. The example below shows a pull of the latest (default) version, you can also specify a specific version if desired. | As mentioned above, this may be slow the first time it is run. Subsequent runs should be considerably faster. The example below shows a pull of the latest (default) version, you can also specify a specific version if desired. | ||
| - | '''docker pull spctools/tpp''' | + | '''sudo docker pull spctools/tpp''' |
| '' Using default tag: latest'' | '' Using default tag: latest'' | ||
| '' Trying to pull repository docker.io/spctools/tpp ... '' | '' Trying to pull repository docker.io/spctools/tpp ... '' | ||
Revision as of 02:47, 26 April 2019
Overview
The docker system allows the distribution of pre-built computational units called images, which can be run on any system with the docker software installed. The spctools/tpp image is built on the BioContainers ubuntu image, and uses many of the BioContainers conventions. On some systems you may have to run these commands using sudo, a mechanism for elevating user privileges for specific tasks. The initial download described below will be relatively slow the first time it is run, since most if not all the 'layers' will have to be downloaded. Subsequent invocations will generally be much faster.
Installing Docker
Detailed installation guidance on how to install Docker on your computer is beyond the scope of this document, but if you're using Ubuntu 18.04 LTS, it should be as easy as:
sudo apt --yes install docker.io
Downloading spctools/tpp docker image
As mentioned above, this may be slow the first time it is run. Subsequent runs should be considerably faster. The example below shows a pull of the latest (default) version, you can also specify a specific version if desired.
sudo docker pull spctools/tpp Using default tag: latest Trying to pull repository docker.io/spctools/tpp ... latest: Pulling from docker.io/spctools/tpp Digest: sha256:686e9cc696fcbfd118a1ded28ae2d31218cbddd0daed68ac811400cc8833fa95 Status: Image is up to date for spctools/tpp:latest
If you get a "permission denied" error, you probably need to put sudo right at the beginning of each docker command, e.g.: sudo docker pull spctools/tpp
Verifying that the image has been downloaded
To verify that you've successfully downloaded the image, you can use the images command below, and hopefully see spctools/tpp entry(s):
docker images REPOSITORY TAG IMAGE ID CREATED SIZE spctools/tpp latest ebf55696681a 24 hours ago 3.2GB
Running a specific TPP program from the docker image
If you want to run a specific program, e.g. comet, from the TPP installation, you can invoke it along with any arguments as illustrated below, where we have also mapped the local directory /tmp/tppdata outside the container to the /data directory inside the Docker container, which is the current working directory inside the container by default. You may have to adjust the permissions on the local directory if the docker process has trouble writing to it.
mkdir /tmp/tppdata chmod 777 /tmp/tppdata docker run -v /tmp/tppdata:/data spctools/tpp comet -p Created: comet.params.new
You should find a freshly created comet.params.new file in /tmp/tppdata after the command completes.
Obtaining a copy of the default parameter files
There is directory of default parameter files included in the docker image. To make a copy of this directory in the TPP GUI workspace, you would run:
docker run -v /tmp/tppdata:/data spctools/tpp cp -R /usr/local/tpp/params /data/
Running the TPP GUI via Docker
To run the TPP GUI, you can invoke the following command (Linux syntax):
docker run -dit --user=root -p 10401:10401 -v /tmp/tppdata:/data spctools/tpp apache2ctl -DFOREGROUND 350dc6eaafe113186c2ec23810bdbc442347a86c2632284435a4b6b713013771
This will start a container running a web server from the spctools/tpp image, map port 10401 on the local machine to the default TPP web server port in the container to enable access, and map a directory of your choosing (/tmp/tppdata in this case) to /data, the root directory for files in the TPP GUI. This will give you access to your data in the TPP GUI. The directory should be exist before starting the TPP GUI.
Checking to make sure the docker is running
docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 350dc6eaafe1 spctools/tpp "/bin/sh -c 'apache2…" 3 seconds ago Up 1 second 0.0.0.0:10401->10401/tcp suspicious_kilby
You should see at least one spctools/tpp container running. To use the GUI, direct your browser to the URL http://myhost:10401/tpp/cgi-bin/tpp_gui.pl where myhost is the network name of your computer (can also be IP address). You should be prompted to log in as user guest (password is guest)
Stopping the GUI when you're done
When you're done using the GUI, you can stop it with something like this:
docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES 350dc6eaafe1 spctools/tpp "/bin/sh -c 'apache2…" 3 seconds ago Up 1 second 0.0.0.0:10401->10401/tcp suspicious_kilby docker stop 350dc6eaafe1
NOTE: If you discover that you cannot create directories or write files with Petunia in a container with a Linux host, either the target directory does not have suitable permissions set, or it may be that you're running SELinux (Security Enhanced Linux) via Fedora/CentOS/Red Hat, and you may need to turn that off temporarily to resolve permissions problems with something like:
setenforce 0
Testing the container and GUI with a sample dataset (optional)
If you want to test your installation with a search and a PeptideProphet processing, try this recipe (you'll need to restart your container if you just stopped it in the step above):
Navigate to:
http://xxx.xxx.xxx.xxx:10401/tpp/cgi-bin/tpp_gui.pl
- Login with guest and password
## In the Petunia interface in the Web browser:
[Files]
[Create new directory] tests
Go into tests
[TPP Tools] [Fetch Datasets]
Choose target directory for downloaded files
[Add Files] Go to the top level /local/data
- Check box next to tests
- (Select)
Specify Dataset ID
Paste into URL box: http://www.peptideatlas.org/export/refData/QuickYeastUPS1.zip
(Fetch Dataset)
Wait a few moments and [Refresh] until the job is done
Click on [this directory] and there should only be a subdirectory "QuickYeastUPS1"
[Files]
- Go to /local/data/params/
- Check box next to comet.params
- Click (Copy) button
- Go to /local/data/tests/QuickYeastUPS1
- Click (Paste) button
- On the same line as comet.params, click [Params]
Make the following changes (they might already be set, but check):
peptide_mass_tolerance = 20
peptide_mass_units = 2
isotope_error = 3
- (Save Search Parameters File)
[Pipeline: Comet]
[TPP Tools] [Comet Search]
Choose mz[X]ML Input Files
[Add Files] Select /local/data/tests/QuickYeastUPS1/UPS1_50000amol_R1.mzML
Choose Comet Parameters File
[Add Files] Select comet.params
Choose a sequence database
[Add Files] Select Yeast_UPS_cRAP.fasta
[Run Comet Search]
Wait a few moments and [Refresh] until the job is done
[TPP Tools] [Analyze Peptides]
- (Add Files)
- Check box next to UPS1_50000amol_R1.pep.xml
- (Select)
- Under -PEPTIDEPROPHET OPTIONS- check box next to "Use accurate mass binning"
- Under -IPROPHET OPTIONS- Check box next to "RUN iProphet"
- Scroll to bottom and (Run XInteract)
- Wait a few moments and [Refresh] until the job is done
- Make sure no errors
- click on [PepXML] link in /local/data/tests/QuickYeastUPS1/interact.ipro.pep.xml [ PepXML ]
- Click on a probability and view the plots
- Go back to the PepXML Viewer tab
- Click on a value in the Ions column
[TPP Tools] [Analyze Proteins]
- (Add Files)
- Check box next to interact.ipro.pep.xml
- (Select)
- Checkmark "Input is from iProphet"
- (Run ProteinProphet)
- Wait a few moments and [Refresh] until the job is done
- click on [ProtXML] link in /local/data/tests/QuickYeastUPS1/interact.prot.xml [ ProtXML ]
- You should see a list of UPS and yeast proteins detected. Click around to explore
[TPP Tools] [Export mzIdentML]
- (Add Files)
- Check box next to interact.prot.xml
- (Select)
- Wait a few moments and [Refresh] until the job is done
Finis! You'll find all your output from the analysis in /tmp/tppdata (unless you used different mapping parameters above).
