https://github.com/multiqc/multiqc_sav
MultiQC plugin replicating the most used plots and tables from Illumina's SAV
https://github.com/multiqc/multiqc_sav
Last synced: 12 months ago
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MultiQC plugin replicating the most used plots and tables from Illumina's SAV
- Host: GitHub
- URL: https://github.com/multiqc/multiqc_sav
- Owner: MultiQC
- License: mit
- Created: 2021-06-01T08:42:31.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2022-04-04T13:49:19.000Z (about 4 years ago)
- Last Synced: 2025-04-08T16:38:07.791Z (about 1 year ago)
- Language: Python
- Size: 223 MB
- Stars: 6
- Watchers: 1
- Forks: 1
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# [
](https://github.com/ewels/MultiQC)

[](http://bioconda.github.io/recipes/multiqc_sav/README.html)
[](https://anaconda.org/bioconda/multiqc_sav)
[](https://anaconda.org/bioconda/multiqc_sav)
[](https://anaconda.org/bioconda/multiqc_sav)
**MultiQC_SAV is a plugin for MultiQC, leveraging the [InterOp python API](https://github.com/Illumina/interop) to generate the most used tables and graphs from the Illumina SAV**
For more information about MultiQC, see [http://multiqc.info](http://multiqc.info)
For more information about Illumina SAV, see [the Illumina support page](https://support.illumina.com/sequencing/sequencing_software/sequencing_analysis_viewer_sav/downloads.html)
## Description
The MultiQC_SAV plugin parses the InterOp files in an Illumina Sequencer output directory and generates tables and graphs of the most important metrics
## Example
An example report can be found [here](docs/example/NextSeq500_report.html)
## Installation
This plugin can be installed using the following methods
- using `pip`:
```bash
pip install --upgrade --force-reinstall git+https://github.com/MultiQC/MultiQC_SAV.git
```
- using `conda`:
```bash
conda install -c bioconda multiqc_sav
```
- using `setuptools`:
```bash
git clone https://github.com/MultiQC/MultiQC_SAV
cd MultiQC_SAV
python setup.py install
```
## Usage
This plugin adds a QC module and searches for the `RunInfo.xml` and `RunParameters.xml` files. It tries to infer if all required files are present. No special params are needed.
### Required files
The illumina directory should contain the following files the directory structure as dictated by the sequencer
```bash
illumina_dir
├── InterOp
│ ├── *.bin
├── RunInfo.xml
├── RunParameters.xml
```
### Contributors
- Matthias De Smet [@matthdsm](https://github.com/matthdsm), [@CenterForMedicalGeneticsGhent](https://github.com/CenterForMedicalGeneticsGhent)