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MultiQCMultiQC

Aggregate bioinformatics results across many samples into a single report

PyPI VersionConda VersionDockerGitHub Workflow Status - LinuxGitHub Workflow Status - Windows

GitterDOI


MultiQC is a tool to create a single report with interactive plots for multiple bioinformatics analyses across many samples.

MultiQC is written in Python (tested with v3.6+). It is available on the Python Package Index and through conda using Bioconda.

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.

MultiQC can also easily parse data from custom scripts, if correctly formatted / configured. See the MultiQC documentation for more information.

Please note that some modules only recognise output from certain tool subcommands. Please see the module documentation for more information.

More modules are being written all of the time. Please suggest any ideas as a new issue(include an example log file if possible).

Installation

You can install MultiQC from PyPI using pip as follows:

pip install multiqc

Alternatively, you can install using Conda from the bioconda channel:

conda install -c bioconda multiqc

If you would like the development version instead, the command is:

pip install --upgrade --force-reinstall git+https://github.com/ewels/MultiQC.git

MultiQC is also available via Galaxy (Toolshed, Galaxy wrapper).

Usage

Once installed, you can use MultiQC by navigating to your analysis directory (or a parent directory) and running the tool:

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 .

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.

Development

MultiQC has been written in a way to make extension and customisation as easy as possible. The documentation has a large section describing how to code with MultiQC and you can find an example plugin at https://github.com/MultiQC/example-plugin.

Pull-requests for fixes and additions are very welcome. Please see the contributing notes for more information about how the process works.

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, Måns Magnusson, Sverker Lundin and Max Käller
Bioinformatics (2016)
doi: 10.1093/bioinformatics/btw354
PMID: 27312411

@article{doi:10.1093/bioinformatics/btw354,
author = {Ewels, Philip and Magnusson, Måns and Lundin, Sverker and Käller, 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 for any of these, including example reports where possible. MultiQC has extensive documentation describing how to write new modules, plugins and templates.

There is a chat room for the package hosted on Gitter where you can discuss things with the package author and other developers: https://gitter.im/ewels/MultiQC

If in doubt, feel free to get in touch with the author directly: @ewels (phil.ewels@seqera.io)

Contributors

MultiQC is developed and maintained by Phil Ewels (@ewels) at Seqera Labs. It was originally written at the National Genomics Infrastructure, part of SciLifeLab in Sweden.

A huge thank you to all code contributors - there are a lot of you! See the Contributors Graph for details.

MultiQC is released under the GPL v3 or later licence.

About

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

Resources

Contributing

Stars

0 stars

Watchers

0 watching

Forks

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Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Skip to content

Repository files navigation

MultiQCMultiQC

Aggregate bioinformatics results across many samples into a single report

PyPI VersionConda VersionDockerGitHub Workflow Status - LinuxGitHub Workflow Status - Windows

GitterDOI


MultiQC is a tool to create a single report with interactive plots for multiple bioinformatics analyses across many samples.

MultiQC is written in Python (tested with v3.6+). It is available on the Python Package Index and through conda using Bioconda.

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.

MultiQC can also easily parse data from custom scripts, if correctly formatted / configured. See the MultiQC documentation for more information.

Please note that some modules only recognise output from certain tool subcommands. Please see the module documentation for more information.

More modules are being written all of the time. Please suggest any ideas as a new issue(include an example log file if possible).

Installation

You can install MultiQC from PyPI using pip as follows:

pip install multiqc

Alternatively, you can install using Conda from the bioconda channel:

conda install -c bioconda multiqc

If you would like the development version instead, the command is:

pip install --upgrade --force-reinstall git+https://github.com/ewels/MultiQC.git

MultiQC is also available via Galaxy (Toolshed, Galaxy wrapper).

Usage

Once installed, you can use MultiQC by navigating to your analysis directory (or a parent directory) and running the tool:

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 .

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.

Development

MultiQC has been written in a way to make extension and customisation as easy as possible. The documentation has a large section describing how to code with MultiQC and you can find an example plugin at https://github.com/MultiQC/example-plugin.

Pull-requests for fixes and additions are very welcome. Please see the contributing notes for more information about how the process works.

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, Måns Magnusson, Sverker Lundin and Max Käller
Bioinformatics (2016)
doi: 10.1093/bioinformatics/btw354
PMID: 27312411

@article{doi:10.1093/bioinformatics/btw354,
author = {Ewels, Philip and Magnusson, Måns and Lundin, Sverker and Käller, 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 for any of these, including example reports where possible. MultiQC has extensive documentation describing how to write new modules, plugins and templates.

There is a chat room for the package hosted on Gitter where you can discuss things with the package author and other developers: https://gitter.im/ewels/MultiQC

If in doubt, feel free to get in touch with the author directly: @ewels (phil.ewels@seqera.io)

Contributors

MultiQC is developed and maintained by Phil Ewels (@ewels) at Seqera Labs. It was originally written at the National Genomics Infrastructure, part of SciLifeLab in Sweden.

A huge thank you to all code contributors - there are a lot of you! See the Contributors Graph for details.

MultiQC is released under the GPL v3 or later licence.

About

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

Resources

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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MultiQCMultiQC

Aggregate bioinformatics results across many samples into a single report

PyPI VersionConda VersionDockerGitHub Workflow Status - LinuxGitHub Workflow Status - Windows

GitterDOI


MultiQC is a tool to create a single report with interactive plots for multiple bioinformatics analyses across many samples.

MultiQC is written in Python (tested with v3.6+). It is available on the Python Package Index and through conda using Bioconda.

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.

MultiQC can also easily parse data from custom scripts, if correctly formatted / configured. See the MultiQC documentation for more information.

Please note that some modules only recognise output from certain tool subcommands. Please see the module documentation for more information.

More modules are being written all of the time. Please suggest any ideas as a new issue(include an example log file if possible).

Installation

You can install MultiQC from PyPI using pip as follows:

pip install multiqc

Alternatively, you can install using Conda from the bioconda channel:

conda install -c bioconda multiqc

If you would like the development version instead, the command is:

pip install --upgrade --force-reinstall git+https://github.com/ewels/MultiQC.git

MultiQC is also available via Galaxy (Toolshed, Galaxy wrapper).

Usage

Once installed, you can use MultiQC by navigating to your analysis directory (or a parent directory) and running the tool:

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 .

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.

Development

MultiQC has been written in a way to make extension and customisation as easy as possible. The documentation has a large section describing how to code with MultiQC and you can find an example plugin at https://github.com/MultiQC/example-plugin.

Pull-requests for fixes and additions are very welcome. Please see the contributing notes for more information about how the process works.

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, Måns Magnusson, Sverker Lundin and Max Käller
Bioinformatics (2016)
doi: 10.1093/bioinformatics/btw354
PMID: 27312411

@article{doi:10.1093/bioinformatics/btw354,
author = {Ewels, Philip and Magnusson, Måns and Lundin, Sverker and Käller, 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 for any of these, including example reports where possible. MultiQC has extensive documentation describing how to write new modules, plugins and templates.

There is a chat room for the package hosted on Gitter where you can discuss things with the package author and other developers: https://gitter.im/ewels/MultiQC

If in doubt, feel free to get in touch with the author directly: @ewels (phil.ewels@seqera.io)

Contributors

MultiQC is developed and maintained by Phil Ewels (@ewels) at Seqera Labs. It was originally written at the National Genomics Infrastructure, part of SciLifeLab in Sweden.

A huge thank you to all code contributors - there are a lot of you! See the Contributors Graph for details.

MultiQC is released under the GPL v3 or later licence.

About

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

Resources

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

MultiQCMultiQC

Aggregate bioinformatics results across many samples into a single report

PyPI VersionConda VersionDockerGitHub Workflow Status - LinuxGitHub Workflow Status - Windows

GitterDOI


MultiQC is a tool to create a single report with interactive plots for multiple bioinformatics analyses across many samples.

MultiQC is written in Python (tested with v3.6+). It is available on the Python Package Index and through conda using Bioconda.

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.

MultiQC can also easily parse data from custom scripts, if correctly formatted / configured. See the MultiQC documentation for more information.

Please note that some modules only recognise output from certain tool subcommands. Please see the module documentation for more information.

More modules are being written all of the time. Please suggest any ideas as a new issue(include an example log file if possible).

Installation

You can install MultiQC from PyPI using pip as follows:

pip install multiqc

Alternatively, you can install using Conda from the bioconda channel:

conda install -c bioconda multiqc

If you would like the development version instead, the command is:

pip install --upgrade --force-reinstall git+https://github.com/ewels/MultiQC.git

MultiQC is also available via Galaxy (Toolshed, Galaxy wrapper).

Usage

Once installed, you can use MultiQC by navigating to your analysis directory (or a parent directory) and running the tool:

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 .

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.

Development

MultiQC has been written in a way to make extension and customisation as easy as possible. The documentation has a large section describing how to code with MultiQC and you can find an example plugin at https://github.com/MultiQC/example-plugin.

Pull-requests for fixes and additions are very welcome. Please see the contributing notes for more information about how the process works.

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, Måns Magnusson, Sverker Lundin and Max Käller
Bioinformatics (2016)
doi: 10.1093/bioinformatics/btw354
PMID: 27312411

@article{doi:10.1093/bioinformatics/btw354,
author = {Ewels, Philip and Magnusson, Måns and Lundin, Sverker and Käller, 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 for any of these, including example reports where possible. MultiQC has extensive documentation describing how to write new modules, plugins and templates.

There is a chat room for the package hosted on Gitter where you can discuss things with the package author and other developers: https://gitter.im/ewels/MultiQC

If in doubt, feel free to get in touch with the author directly: @ewels (phil.ewels@seqera.io)

Contributors

MultiQC is developed and maintained by Phil Ewels (@ewels) at Seqera Labs. It was originally written at the National Genomics Infrastructure, part of SciLifeLab in Sweden.

A huge thank you to all code contributors - there are a lot of you! See the Contributors Graph for details.

MultiQC is released under the GPL v3 or later licence.

About

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

Resources

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Repository files navigation

MultiQCMultiQC

Aggregate bioinformatics results across many samples into a single report

PyPI VersionConda VersionDockerGitHub Workflow Status - LinuxGitHub Workflow Status - Windows

GitterDOI


MultiQC is a tool to create a single report with interactive plots for multiple bioinformatics analyses across many samples.

MultiQC is written in Python (tested with v3.6+). It is available on the Python Package Index and through conda using Bioconda.

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.

MultiQC can also easily parse data from custom scripts, if correctly formatted / configured. See the MultiQC documentation for more information.

Please note that some modules only recognise output from certain tool subcommands. Please see the module documentation for more information.

More modules are being written all of the time. Please suggest any ideas as a new issue(include an example log file if possible).

Installation

You can install MultiQC from PyPI using pip as follows:

pip install multiqc

Alternatively, you can install using Conda from the bioconda channel:

conda install -c bioconda multiqc

If you would like the development version instead, the command is:

pip install --upgrade --force-reinstall git+https://github.com/ewels/MultiQC.git

MultiQC is also available via Galaxy (Toolshed, Galaxy wrapper).

Usage

Once installed, you can use MultiQC by navigating to your analysis directory (or a parent directory) and running the tool:

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 .

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.

Development

MultiQC has been written in a way to make extension and customisation as easy as possible. The documentation has a large section describing how to code with MultiQC and you can find an example plugin at https://github.com/MultiQC/example-plugin.

Pull-requests for fixes and additions are very welcome. Please see the contributing notes for more information about how the process works.

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, Måns Magnusson, Sverker Lundin and Max Käller
Bioinformatics (2016)
doi: 10.1093/bioinformatics/btw354
PMID: 27312411

@article{doi:10.1093/bioinformatics/btw354,
author = {Ewels, Philip and Magnusson, Måns and Lundin, Sverker and Käller, 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 for any of these, including example reports where possible. MultiQC has extensive documentation describing how to write new modules, plugins and templates.

There is a chat room for the package hosted on Gitter where you can discuss things with the package author and other developers: https://gitter.im/ewels/MultiQC

If in doubt, feel free to get in touch with the author directly: @ewels (phil.ewels@seqera.io)

Contributors

MultiQC is developed and maintained by Phil Ewels (@ewels) at Seqera Labs. It was originally written at the National Genomics Infrastructure, part of SciLifeLab in Sweden.

A huge thank you to all code contributors - there are a lot of you! See the Contributors Graph for details.

MultiQC is released under the GPL v3 or later licence.

About

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

Resources

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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MultiQCMultiQC

Aggregate bioinformatics results across many samples into a single report

PyPI VersionConda VersionDockerGitHub Workflow Status - LinuxGitHub Workflow Status - Windows

GitterDOI


MultiQC is a tool to create a single report with interactive plots for multiple bioinformatics analyses across many samples.

MultiQC is written in Python (tested with v3.6+). It is available on the Python Package Index and through conda using Bioconda.

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.

MultiQC can also easily parse data from custom scripts, if correctly formatted / configured. See the MultiQC documentation for more information.

Please note that some modules only recognise output from certain tool subcommands. Please see the module documentation for more information.

More modules are being written all of the time. Please suggest any ideas as a new issue(include an example log file if possible).

Installation

You can install MultiQC from PyPI using pip as follows:

pip install multiqc

Alternatively, you can install using Conda from the bioconda channel:

conda install -c bioconda multiqc

If you would like the development version instead, the command is:

pip install --upgrade --force-reinstall git+https://github.com/ewels/MultiQC.git

MultiQC is also available via Galaxy (Toolshed, Galaxy wrapper).

Usage

Once installed, you can use MultiQC by navigating to your analysis directory (or a parent directory) and running the tool:

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 .

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.

Development

MultiQC has been written in a way to make extension and customisation as easy as possible. The documentation has a large section describing how to code with MultiQC and you can find an example plugin at https://github.com/MultiQC/example-plugin.

Pull-requests for fixes and additions are very welcome. Please see the contributing notes for more information about how the process works.

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, Måns Magnusson, Sverker Lundin and Max Käller
Bioinformatics (2016)
doi: 10.1093/bioinformatics/btw354
PMID: 27312411

@article{doi:10.1093/bioinformatics/btw354,
author = {Ewels, Philip and Magnusson, Måns and Lundin, Sverker and Käller, 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 for any of these, including example reports where possible. MultiQC has extensive documentation describing how to write new modules, plugins and templates.

There is a chat room for the package hosted on Gitter where you can discuss things with the package author and other developers: https://gitter.im/ewels/MultiQC

If in doubt, feel free to get in touch with the author directly: @ewels (phil.ewels@seqera.io)

Contributors

MultiQC is developed and maintained by Phil Ewels (@ewels) at Seqera Labs. It was originally written at the National Genomics Infrastructure, part of SciLifeLab in Sweden.

A huge thank you to all code contributors - there are a lot of you! See the Contributors Graph for details.

MultiQC is released under the GPL v3 or later licence.

About

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

Resources

Contributing

Stars

0 stars

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0 watching

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Contributors

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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MultiQCMultiQC

Aggregate bioinformatics results across many samples into a single report

PyPI VersionConda VersionDockerGitHub Workflow Status - LinuxGitHub Workflow Status - Windows

GitterDOI


MultiQC is a tool to create a single report with interactive plots for multiple bioinformatics analyses across many samples.

MultiQC is written in Python (tested with v3.6+). It is available on the Python Package Index and through conda using Bioconda.

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.

MultiQC can also easily parse data from custom scripts, if correctly formatted / configured. See the MultiQC documentation for more information.

Please note that some modules only recognise output from certain tool subcommands. Please see the module documentation for more information.

More modules are being written all of the time. Please suggest any ideas as a new issue(include an example log file if possible).

Installation

You can install MultiQC from PyPI using pip as follows:

pip install multiqc

Alternatively, you can install using Conda from the bioconda channel:

conda install -c bioconda multiqc

If you would like the development version instead, the command is:

pip install --upgrade --force-reinstall git+https://github.com/ewels/MultiQC.git

MultiQC is also available via Galaxy (Toolshed, Galaxy wrapper).

Usage

Once installed, you can use MultiQC by navigating to your analysis directory (or a parent directory) and running the tool:

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 .

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.

Development

MultiQC has been written in a way to make extension and customisation as easy as possible. The documentation has a large section describing how to code with MultiQC and you can find an example plugin at https://github.com/MultiQC/example-plugin.

Pull-requests for fixes and additions are very welcome. Please see the contributing notes for more information about how the process works.

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, Måns Magnusson, Sverker Lundin and Max Käller
Bioinformatics (2016)
doi: 10.1093/bioinformatics/btw354
PMID: 27312411

@article{doi:10.1093/bioinformatics/btw354,
author = {Ewels, Philip and Magnusson, Måns and Lundin, Sverker and Käller, 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 for any of these, including example reports where possible. MultiQC has extensive documentation describing how to write new modules, plugins and templates.

There is a chat room for the package hosted on Gitter where you can discuss things with the package author and other developers: https://gitter.im/ewels/MultiQC

If in doubt, feel free to get in touch with the author directly: @ewels (phil.ewels@seqera.io)

Contributors

MultiQC is developed and maintained by Phil Ewels (@ewels) at Seqera Labs. It was originally written at the National Genomics Infrastructure, part of SciLifeLab in Sweden.

A huge thank you to all code contributors - there are a lot of you! See the Contributors Graph for details.

MultiQC is released under the GPL v3 or later licence.

About

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

Resources

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

MultiQCMultiQC

Aggregate bioinformatics results across many samples into a single report

PyPI VersionConda VersionDockerGitHub Workflow Status - LinuxGitHub Workflow Status - Windows

GitterDOI


MultiQC is a tool to create a single report with interactive plots for multiple bioinformatics analyses across many samples.

MultiQC is written in Python (tested with v3.6+). It is available on the Python Package Index and through conda using Bioconda.

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.

MultiQC can also easily parse data from custom scripts, if correctly formatted / configured. See the MultiQC documentation for more information.

Please note that some modules only recognise output from certain tool subcommands. Please see the module documentation for more information.

More modules are being written all of the time. Please suggest any ideas as a new issue(include an example log file if possible).

Installation

You can install MultiQC from PyPI using pip as follows:

pip install multiqc

Alternatively, you can install using Conda from the bioconda channel:

conda install -c bioconda multiqc

If you would like the development version instead, the command is:

pip install --upgrade --force-reinstall git+https://github.com/ewels/MultiQC.git

MultiQC is also available via Galaxy (Toolshed, Galaxy wrapper).

Usage

Once installed, you can use MultiQC by navigating to your analysis directory (or a parent directory) and running the tool:

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 .

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.

Development

MultiQC has been written in a way to make extension and customisation as easy as possible. The documentation has a large section describing how to code with MultiQC and you can find an example plugin at https://github.com/MultiQC/example-plugin.

Pull-requests for fixes and additions are very welcome. Please see the contributing notes for more information about how the process works.

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, Måns Magnusson, Sverker Lundin and Max Käller
Bioinformatics (2016)
doi: 10.1093/bioinformatics/btw354
PMID: 27312411

@article{doi:10.1093/bioinformatics/btw354,
author = {Ewels, Philip and Magnusson, Måns and Lundin, Sverker and Käller, 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 for any of these, including example reports where possible. MultiQC has extensive documentation describing how to write new modules, plugins and templates.

There is a chat room for the package hosted on Gitter where you can discuss things with the package author and other developers: https://gitter.im/ewels/MultiQC

If in doubt, feel free to get in touch with the author directly: @ewels (phil.ewels@seqera.io)

Contributors

MultiQC is developed and maintained by Phil Ewels (@ewels) at Seqera Labs. It was originally written at the National Genomics Infrastructure, part of SciLifeLab in Sweden.

A huge thank you to all code contributors - there are a lot of you! See the Contributors Graph for details.

MultiQC is released under the GPL v3 or later licence.

About

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

Resources

Contributing

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages