The MaxQuant computational platform for mass spectrometry-based shotgun proteomics
By Stefka Tyanova, Tikira Temu, Jüergen Cox. 2016
4,240 citations recorded by the source corpus.
Subfields: Molecular Biology, Spectroscopy
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Molecular Biology
- Fengchao Yu
- S. Haynes
- Alexey I. Nesvizhskii
- Oliver Stegle
- B. Budnik
- Ezra Levy
- Nikolai Slavov
- Guillaume Harmange
In Spectroscopy
- Fengchao Yu
- S. Haynes
- Alexey I. Nesvizhskii
- B. Budnik
- Ezra Levy
- Nikolai Slavov
- Guillaume Harmange
- Jüergen Cox
Citations in the corpus
- The PRIDE database and related tools and resources in 2019: improving support for quantification data (2018, positive): “All PRIDE integrated proteomics datasets were manually curated and re-analyzed using a MaxQuant based pipeline.”
- Expression Atlas: gene and protein expression across multiple studies and organisms (2017, methodology): “Proteomics data are currently processed in custom-designed way for each data set, using open source and/or free to use software such as OpenMS (20) and MaxQuant (21).”
- IonQuant Enables Accurate and Sensitive Label-Free Quantification With FDR-Controlled Match-Between-Runs (2020, methodology): “To address the missing value problem in DDA-based proteomics, a number of “identification transfer” approaches have been devised (10–13), exemplified by the matchbetween-runs (MBR) option in MaxQuant (14, 15) that allows “transfer” of identified precursor peptide peaks from one run (referred to belo”
- SCoPE-MS: mass spectrometry of single mammalian cells quantifies proteome heterogeneity during cell differentiation (2017, methodology): “MaxQuant searches were performed using the standard work flow [47].”