https://github.com/ssi-dk/ssi_analysis_result_parsers
Data wranglers for species specific pipelines to extract results for downstream databases
https://github.com/ssi-dk/ssi_analysis_result_parsers
Last synced: 6 months ago
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Data wranglers for species specific pipelines to extract results for downstream databases
- Host: GitHub
- URL: https://github.com/ssi-dk/ssi_analysis_result_parsers
- Owner: ssi-dk
- License: mit
- Created: 2025-04-07T07:47:41.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-04-08T09:29:42.000Z (6 months ago)
- Last Synced: 2025-04-08T10:31:07.549Z (6 months ago)
- Language: Jupyter Notebook
- Size: 419 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# ssi_analysis_result_parsers
This file will become your README and also the index of your
documentation.
## Developer Guide
If you are new to using `nbdev` here are some useful pointers to get you
started.
### Install ssi_analysis_result_parsers in Development mode
``` sh
# make sure ssi_analysis_result_parsers package is installed in development mode
$ pip install -e .
# make changes under nbs/ directory
# ...
# compile to have changes apply to ssi_analysis_result_parsers
$ nbdev_prepare
```
## Usage
### Installation
Install latest from the GitHub
[repository](https://github.com/$GIT_USER_NAME/ssi_analysis_result_parsers):
``` sh
$ pip install git+https://github.com/$GIT_USER_NAME/ssi_analysis_result_parsers.git
```
or from
[conda](https://anaconda.org/$GIT_USER_NAME/ssi_analysis_result_parsers)
``` sh
$ conda install -c $GIT_USER_NAME ssi_analysis_result_parsers
```
or from [pypi](https://pypi.org/project/ssi_analysis_result_parsers/)
``` sh
$ pip install ssi_analysis_result_parsers
```
### Documentation
Documentation can be found hosted on this GitHub
[repository](https://github.com/$GIT_USER_NAME/ssi_analysis_result_parsers)’s
[pages](https://$GIT_USER_NAME.github.io/ssi_analysis_result_parsers/).
Additionally you can find package manager specific guidelines on
[conda](https://anaconda.org/$GIT_USER_NAME/ssi_analysis_result_parsers)
and [pypi](https://pypi.org/project/ssi_analysis_result_parsers/)
respectively.
## How to use
Fill me in please! Don’t forget code examples:
``` python
1+1
```
2