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maxquant_instructions.qmd
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maxquant_instructions.qmd
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---
title: "MaxQuant"
author: "Cox Lab"
format:
html:
toc: true
toc-depth: 4
toc-expand: false
number-sections: true
number-depth: 4
editor: source
date: today
bibliography: references.bib
csl: nature.csl
---
MaxQuant is a proteomics software package designed for analyzing large mass-spectrometric data sets.
It is specifically aimed at high-resolution MS data.
Several labeling techniques as well as label-free quantification are supported.
MaxQuant is freely available and can be downloaded from this site.
The download includes the search engine [Andromeda](andromeda_instructions.html), which is integrated into MaxQuant as well as the [viewer](viewer_instructions.html) application for inspection of raw data and identification and quantification results.
For statistical analysis of MaxQuant output, we offer the [Perseus](perseus_instructions.html) framework.
# Documentation outline
- [Download and installation](Download_Installation.html)
- [First steps in MaxQuant](MQ_FirstSteps.html)
- [Viewer](viewer_instructions.html)
- [Andromeda](andromeda_instructions.html)
- [Output Tables](output_tables.html)
- [Google groups](https://groups.google.com/g/maxquant-list?pli=1)
- [maxquant Bug reporting](https://github.com/cox-labs/CoxLab_Bug_Reporting)
- [Glossary](Glossary.html)
For additional training, consider attending the annual [MaxQuant Summer School](https://maxquant.org/summer_school/).
Also watching some [MaxQuant videos](https://www.youtube.com/c/MaxQuantChannel) provides more insight.
------------------------------------------------------------------------
For question we would love to hear from you under [Contact](contact.html)
# Bibliography
For a deep-dive into the technique and progress behind MaxQuant, many papers of varying degrees of details were published over the last decades.
For further reading, you can look at a small list of the more important corner stones of the MaxQuant development history.
[@cox2008] (**Note that the paper has a large supplement containing in-depth descriptions of algorithms)**,[@cox2011], [@schaab2012], [@cox2014], [@tyanova2015], [@tyanova2016] (**Note that this paper explains how to run MaxQuant in detail.**), [@sinitcyn2018]