Bioinformatics tools for Janis; the Pipeline creation helper
Project description
Janis - Example Pipelines
This repository contains workflows written using Janis.
These workflows are installed by default, but are available on PIP with:
pip3 install janis-pipelines.pipelines
Documentation
These pipelines are documented with run instructions here: https://janis.readthedocs.io/en/latest/pipelines/index.html
More information
These pipelines are made available through the entrypoint: janis.extension=pipelines
.
They can be imported in Python with the following:
from janis_pipelines import WGSGermlineGATK
WGSGermlineGATK().translate("wdl")
Pipelines
Whole genome sequencing (WGS) pipelines:
Other:
Reference files:
- Tested with
hg38
from GCS: Broad Institute
WGS Germline pipeline
See the - germline folder for more information, the workflow and CWL / WDL translations.
The WGS germline pipeline takes a FASTQ pair, aligns, sorts, marks duplicates and calls variants across GATK4, Strelka and VarDict. These variants are combined and sorted at the end.
These variants were validated against the Genome in a Bottle data sets to achieve:
- Recall: 99.25%
- Precision: 92.02%
These results were identical across 3 research institutes (combination of Slurm / PBS / Torque) and Google Cloud platform. The pipeline took approximately 27-30 hours to run at a 30x coverage, depending on the resource constraint.
WGS Somatic pipeline for tumor-normal variant discovery
See the somatic folder for more information, the workflow and CWL / WDL translations.
The WGS somatic pipeline takes normal and tumor FASTQ pairs, aligns, sorts and marks duplicates separately, and then performs tumor-normal variant discovery across GATK4, Strelka and VarDict (in somatic modes). These variants are combined and sorted at the end.
This pipeline was run successfully across a similar set of research institutes (as germline) and the cloud, however these variants have not been validated yet.
Project details
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 janis-pipelines.pipelines-0.13.0.tar.gz
.
File metadata
- Download URL: janis-pipelines.pipelines-0.13.0.tar.gz
- Upload date:
- Size: 35.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d558584fc7aca1c392ef8e59f3b75b40c164e69cb3fbc7f4f8927f88dada7d6d |
|
MD5 | 9d79a9e98b7e9326e3f1671b21c77fa7 |
|
BLAKE2b-256 | bd31a240cac10d3719628aac5b3eba79a05bffb2271d7475eda387f76b7e59d1 |
File details
Details for the file janis_pipelines.pipelines-0.13.0-py3-none-any.whl
.
File metadata
- Download URL: janis_pipelines.pipelines-0.13.0-py3-none-any.whl
- Upload date:
- Size: 52.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.8.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 730144568d1a1bf613b48e01cdc46b74d3a251d6bf497516f75628f6954dc1ce |
|
MD5 | f95c3db3bb0a81d5085201fb0a974d4c |
|
BLAKE2b-256 | b6c97c35f767f6444f572723688b6991026c4d8fb76922ba04835c4a2afad04e |