Test-drive the GATK tools and Best Practices pipelines on Terra
Check out this blog post to learn how you can get started with GATK and try out the pipelines in preconfigured workspaces (with a user-friendly interface!) without having to install anything.
(howto) Install and run Oncotator for the first time
1. Download the Oncotator package, the default datasources package, and (recommended) transcript override list from the Downloads page
Please note: Broadies who wish to run the installed Oncotator on the Broad cluster should follow the instructions here, instead of this page
- Download the latest release here.
Default Datasource Corpus Download (April 5, 2016)
- Download 17GB oncotator_v1_ds_April052016.tar.gz.
Please note that this corpus should be used with Oncotator 1.4.x.x and above. Uniprot AA Pos annotations will not function properly with Oncotator 1.3.x.x and below.
Transcript override lists
We highly recommend that you download and use one of the below transcript override lists, especially if clinical applications of Oncotator. When running Oncotator, provide one of the below files with the
Download UniProt Exact Match For GENCODE v19, will give selection priority to transcripts with protein sequences that match the UniProt protein sequence exactly. This file can also be found in the Oncotator download at
Download UniProt Exact Match + Clinical For GENCODE v19, this will give priority to known clinical protein changes. This file is a modification of the UniProt Exact Match (above). For more information about how this list was generated, please see the powerpoint presentation here
The Oncotator and default datasource corpus packages are simple tar files that can be expanded using the following commands:
$ tar zxvf oncotator-126.96.36.199.tar.gz $ tar zxvf oncotator_v1_ds_Jan262015.tar.gz
This will produce two directories called
oncotator_v1_ds_Dec112014, respectively. Move to the
oncotator-188.8.131.52 directory by doing:
$ cd oncotator-184.108.40.206
2. Set up your Python environment and install dependencies
See the article on platform requirements for a full list of dependencies. This tutorial will show you how to use the virtual environment script we provide to set everything up automagically, and this tutorial will show you how to install dependencies manually if needed (or preferred).
3. Install Oncotator
Once you have installed all the necessary dependencies listed above, simply run the standard Python install script which is included with the Oncotator distribution.
$ python setup.py install
Two binaries (executable program files) named
initializeDatasource respectively will be installed into your Python's
bin/ directory. You can test that they were installed by running e.g.:
$ oncotator -h
to invoke the help / usage instructions. You can also do a test run of Oncotator on the
Patient0.snp.maf.txt file provided with the Oncotator distribution (in the
test/testdata/maflite/ directory) with the following command:
$ oncotator -v --db-dir /path/to/oncotator_v1_ds_Jan262015 test/testdata/maflite/Patient0.snp.maf.txt exampleOutput.tsv hg19
where you provide the location of the datasources using the
--db-dir argument. You may need to adapt the file path for the
Patient0.snp.maf.txt file depending on where you run this command from.
This will produce a new file named
exampleOutput.tsv with the appropriate annotations, built against the