https://github.com/bactopia/bactopia-mqc

Aggregate results from bioinformatics analyses across many samples into a single report.

https://github.com/bactopia/bactopia-mqc

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 12 DOI reference(s) in README
  • Academic publication links
    Links to: ncbi.nlm.nih.gov
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (18.2%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Aggregate results from bioinformatics analyses across many samples into a single report.

Basic Info
  • Host: GitHub
  • Owner: bactopia
  • License: gpl-3.0
  • Language: JavaScript
  • Default Branch: master
  • Homepage: http://multiqc.info
  • Size: 31.3 MB
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  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
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Fork of MultiQC/MultiQC
Created almost 4 years ago · Last pushed about 2 years ago

https://github.com/bactopia/bactopia-mqc/blob/master/

MultiQC

### Aggregate bioinformatics results across many samples into a single report ##### Find [documentation](https://docs.seqera.io/multiqc) and [example reports](https://multiqc.info/example-reports/) at [http://multiqc.info](http://multiqc.info) [![PyPI Version](https://img.shields.io/pypi/v/multiqc)](https://pypi.python.org/pypi/multiqc/) [![Bioconda Version](https://img.shields.io/conda/v/bioconda/multiqc?label=bioconda)](https://bioconda.github.io/recipes/multiqc/README.html) [![DOI](https://img.shields.io/badge/DOI-10.1093%2Fbioinformatics%2Fbtw354-red.svg)](http://dx.doi.org/10.1093/bioinformatics/btw354) --- MultiQC is a tool to create a single report with interactive plots for multiple bioinformatics analyses across many samples. Reports are generated by scanning given directories for recognised log files. These are parsed and a single HTML report is generated summarising the statistics for all logs found. MultiQC reports can describe multiple analysis steps and large numbers of samples within a single plot, and multiple analysis tools making it ideal for routine fast quality control. A very large number of Bioinformatics tools are supported by MultiQC. Please see the MultiQC website for a [complete list](https://docs.seqera.io/multiqc/modules/). MultiQC can also easily parse data from custom scripts, if correctly formatted / configured - a feature called [Custom Content](https://docs.seqera.io/multiqc/custom_content). More modules are being written all the time. Please suggest any ideas as a new [issue](https://github.com/MultiQC/MultiQC/issues) _(please include example log files)_. ## Installation You can install MultiQC from [PyPI](https://pypi.python.org/pypi/multiqc/) using `pip` as follows: ```bash pip install multiqc ``` Alternatively, you can install using [Conda](http://anaconda.org/) from [Bioconda](https://bioconda.github.io/) ([set up your channels](https://bioconda.github.io/#usage) first): ```bash conda install multiqc ``` If you would like the development version from GitHub instead, you can install it with `pip`: ```bash pip install --upgrade --force-reinstall git+https://github.com/MultiQC/MultiQC.git ``` MultiQC is also available via Docker and Singularity images, Galaxy wrappers, and many more software distribution systems. See [the documentation](https://docs.seqera.io/multiqc/getting_started/installation/) for details. ## Usage Once installed, you can use MultiQC by navigating to your analysis directory (or a parent directory) and running the tool: ```bash multiqc . ``` That's it! MultiQC will scan the specified directory (`.` is the current dir) and produce a report detailing whatever it finds. ![`cd test-data/data/modules/fastqc/v0.10.1 && multiqc .`](https://github.com/MultiQC/MultiQC/raw/main/docs/images/screenshots/fastqc-run.svg) The report is created in `multiqc_report.html` by default. Tab-delimited data files are also created in `multiqc_data/`, containing extra information. These can be easily inspected using Excel (use `--data-format` to get `yaml` or `json` instead). For more detailed instructions, run `multiqc -h` or see the [documentation](https://docs.seqera.io/multiqc/getting_started/running_multiqc). ## Citation Please consider citing MultiQC if you use it in your analysis. > **MultiQC: Summarize analysis results for multiple tools and samples in a single report.**
_Philip Ewels, Mns Magnusson, Sverker Lundin and Max Kller_
> Bioinformatics (2016)
> doi: [10.1093/bioinformatics/btw354](http://dx.doi.org/10.1093/bioinformatics/btw354)
> PMID: [27312411](http://www.ncbi.nlm.nih.gov/pubmed/27312411) ```BibTeX @article{doi:10.1093/bioinformatics/btw354, author = {Ewels, Philip and Magnusson, Mns and Lundin, Sverker and Kller, Max}, title = {MultiQC: summarize analysis results for multiple tools and samples in a single report}, journal = {Bioinformatics}, volume = {32}, number = {19}, pages = {3047}, year = {2016}, doi = {10.1093/bioinformatics/btw354}, URL = { + http://dx.doi.org/10.1093/bioinformatics/btw354}, eprint = {/oup/backfile/Content_public/Journal/bioinformatics/32/19/10.1093_bioinformatics_btw354/3/btw354.pdf} } ``` ## Contributions & Support Contributions and suggestions for new features are welcome, as are bug reports! Please create a new [issue](https://github.com/MultiQC/MultiQC/issues) for any of these, including example reports where possible. Pull-requests for fixes and additions are very welcome. Please see the [contributing notes](https://github.com/MultiQC/MultiQC/blob/main/.github/CONTRIBUTING.md) for more information about how the process works. MultiQC has extensive [documentation](https://docs.seqera.io/multiqc/development) describing how to write new modules, plugins and templates. If in doubt, feel free to get in touch with the author directly: [@ewels](https://github.com/ewels) (phil.ewels@seqera.io) ### Contributors MultiQC is developed and maintained by Phil Ewels ([@ewels](https://github.com/ewels)) at [Seqera Labs](https://seqera.io/). It was originally written at the [National Genomics Infrastructure](https://ngisweden.scilifelab.se/), part of [SciLifeLab](https://www.scilifelab.se/) in Sweden. A huge thank you to all code contributors - there are a lot of you! See the [Contributors Graph](https://github.com/MultiQC/MultiQC/graphs/contributors) for details. MultiQC is released under the GPL v3 or later licence.

Owner

  • Name: Bactopia
  • Login: bactopia
  • Kind: organization
  • Location: United States of America

Nextflow DSL2 pipeline for the complete analysis of bacterial genomes

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