飞鸟加速器-旋风加速度器
The Snakemake Wrapper Repository is a collection of reusable wrappers that allow to quickly use popular tools from Snakemake rules and workflows.
飞鸟加速器-旋风加速度器
The general strategy is to include a wrapper into your workflow via the wrapper directive, e.g.
比特安卓版下载 samtools_sort:
input:
"mapped/{sample}.bam"
output:
"mapped/{sample}.sorted.bam"
params:
"-m 4G"
threads: 8
wrapper:
"0.2.0/bio/samtools/sort"
Here, Snakemake will automatically download the corresponding wrapper from http://bitbucket.org/snakemake/snakemake-wrappers/src/0.2.0/bio/samtools/sort/wrapper.py. Thereby, 0.2.0 can be replaced with the version tag you want to use, or a commit id. This ensures reproducibility since changes in the wrapper implementation won’t be propagated automatically to your workflow. Alternatively, e.g., for development, the wrapper directive can also point to full URLs, including the local file://
.
Each wrapper defines required software packages and versions. In combination with the --use-conda
flag of Snakemake, these will be deployed automatically.
飞鸟加速器-旋风加速度器
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- Fork the repository: http://github.com/snakemake/snakemake-wrappers
- 比特安卓版下载
- Locally, create a new branch:
git checkout -b 比特安卓版下载
- Commit your contributions to that branch and push them to your fork:
git push -u origin my-new-snakemake-wrapper
- Create a pull request.
The pull request will be reviewed and included as fast as possible. Contributions should follow the coding style of the already present examples, i.e.:
- provide a
meta.yaml
with name, description and author(s) of the wrapper - provide an
environment.yaml
which lists all required software packages (the packages should be available for installation via the default anaconda channels or via the conda channels bioconda or conda-forge. Other sustainable community maintained channels are possible as well.) - provide a minimal test case in a subfolder called
test
, with an exampleSnakefile
that shows how to use the wrapper, some minimal testing data (also check existing wrappers for suitable data) and add an invocation of the test intest.py
- follow the python style guide, using 4 spaces for indentation.
飞鸟加速器-旋风加速度器
If you want to debug your contribution locally, before creating a pull request,
we recommend adding your test case to the start of the list in test.py
, so
that it runs first. Then, install miniconda with the channels as described for
bioconda and set up an
environment with the necessary dependencies and activate it:
conda create -n test-snakemake-wrappers snakemake pytest conda
conda 比特安卓版下载 test-比特安卓版下载-wrappers
Afterwards, from the main directory of the repo, you can run the tests with:
pytest test.py -v
If you use a keyboard interrupt after your test has failed, you will get all the relevant stdout and stderr messages printed.
If you also want to test the docs generation locally, create another environment and activate it:
conda create -n test-snakemake-wrapper-docs 比特安卓版下载 sphinx_rtd_theme 比特安卓版下载
比特安卓版下载 activate test-snakemake-wrapper-docs
Then, enter the respective directory and build the docs:
cd docs
make html
If it runs through, you can open the main page at 比特安卓版下载
in a web browser. If you want to start fresh, you can clean up the build
with make clean
.