Accessioning tool to submit genomics pipeline outputs to the ENCODE Portal
Project description
accession
Python module and command line tool to submit genomics pipeline analysis output files and metadata to the ENCODE Portal
Table of Contents
Installation
Install the module with pip:
$ pip install accession
Setting environmental variables
You will need ENCODE DCC credentials from the ENCODE Portal. Set them in your command line tool like so:
$ export DCC_API_KEY=XXXXXXXX
$ export DCC_SECRET_KEY=yyyyyyyyyyy
You will also need Google Application Credentials in your environment. Obtain and set your service account credentials:
$ export GOOGLE_APPLICATION_CREDENTIALS=<path_to_service_account_file>
Usage
$ accession --accession-metadata metadata.json \
--accession-steps steps.json \
--server dev \
--lab /labs/encode-processing-pipeline/ \
--award U41HG007000
Arguments
Metadata JSON
This file is an output of a pipeline analysis run. The example file has all of the tasks and produced files.
Accession Steps
The accessioning steps configuration file specifies the task and file names in the output metadata JSON and the order in which the files and metadata will be submitted. Accessioning code will selectively submit the specified files to the ENCODE Portal. A single step is configured in the following way:
{
"dcc_step_version": "/analysis-step-versions/kundaje-lab-atac-seq-trim-align-filter-step-v-1-0/",
"dcc_step_run": "atac-seq-trim-align-filter-step-run-v1",
"wdl_task_name": "filter",
"wdl_files": [
{
"filekey": "nodup_bam",
"output_type": "alignments",
"file_format": "bam",
"quality_metrics": ["cross_correlation", "samtools_flagstat"],
"derived_from_files": [{
"derived_from_task": "trim_adapter",
"derived_from_filekey": "fastqs",
"derived_from_inputs": "true"
}]
}
]
}
dcc_step_version and dcc_step_run must exist on the portal.
wdl_task_name is the name of the task that has the files to be accessioned.
wdl_files specifies the set of files to be accessioned.
filekey is a variable that stores the file path in the metadata file.
output_type, file_format, and file_format_type are ENCODE specific metadata that are required by the Portal
quality_metrics is a list of methods that will be called in during the accessioning to attach quality metrics to the file
possible_duplicate indicates that there could be files that have an identical content. If the possible_duplicate flag is set and the current file being accessioned has md5sum that's identical to the md5sum of another file in the same task, the current file will not be accessioned. Optimal IDR peaks and conservative IDR peaks are an example set of files that can have an identical md5sum.
derived_from_files specifies the list of files the current file being accessioned derives from. The parent files must have been accessioned before the current file can be submitted.
derived_from_inputs is used when indicating that the parent files were not produced during the pipeline analysis. Instead, these files are initial inputs to the pipeline. Raw fastqs and genome references are examples of such files.
derived_from_output_type is required in the case the parent file has a possible duplicate.
Server
prod and dev indicates the server where the files are being accessioned to. dev points to test.encodedcc.org. The server parameter can be explicitly passed as test.encodedcc.org or encodeproject.org.
Lab and Award
These are unique identifiers that are expected to be already present on the ENCODE Portal.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file accession-0.0.34.tar.gz.
File metadata
- Download URL: accession-0.0.34.tar.gz
- Upload date:
- Size: 13.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 93b210c705a7d905099bfe0896b01df07bddd086312a00ae7ed7fe98d917e8e2 |
|
| MD5 | 3170f7f786667a78c240a9a0a6371960 |
|
| BLAKE2b-256 | 1a1ddae53fb8abb7321170fdce4a892aa986052053f5f9e204f2d97c3164594b |
File details
Details for the file accession-0.0.34-py3-none-any.whl.
File metadata
- Download URL: accession-0.0.34-py3-none-any.whl
- Upload date:
- Size: 15.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.33.0 CPython/3.6.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 573f81c019d66358f09ecf796939a72eefd00651ac8d10eab640abe71d4ecbf0 |
|
| MD5 | 8a4c09212ab38e96dcd9c7bf2bf73798 |
|
| BLAKE2b-256 | 2145a2a162a93aa1928621f88e7ce937d11c382487fae1935ebaa99e6d742385 |
