LFQuant 20120114 – Label-free Quantitative Analysis Tool for LC-MS/MS Proteomics Data

LFQuant 20120114

:: DESCRIPTION

LFQuant is a new analysis tool for label-free LC-MS/MS quantitative proteomics data. It is compatible with high-resolution mass spectrometers (Thermo RAW data) and two popular database search engines (SEQUEST and MASCOT) with target-decoy search strategy.

::DEVELOPER

LFQuant team

:: SCREENSHOTS

LFQuant

:: REQUIREMENTS

  • Windows

:: DOWNLOAD

 LFQuant

:: MORE INFORMATION

Citation

Proteomics. 2012 Dec;12(23-24):3475-84. doi: 10.1002/pmic.201200017.
LFQuant: a label-free fast quantitative analysis tool for high-resolution LC-MS/MS proteomics data.
Zhang W1, Zhang J, Xu C, Li N, Liu H, Ma J, Zhu Y, Xie H.

MSstats v3.18.1 – Protein Quantification in label-free and label-based LC-MS experiment

MSstats v3.18.1

:: DESCRIPTION

MSstats is an R package that provides tools for protein quantification in label-free and label-based LC-MS experiments and also SRM experiments based on a family of linear mixed-effects models as the integration of MSstats and SRMstats.

::DEVELOPER

Laboratory for Statistical Proteomics and Bioinformatics , Purdue University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ MacOsX/ Windows
  • R package

:: DOWNLOAD

 MSstats

:: MORE INFORMATION

Citation

Bioinformatics. 2014 May 2. [Epub ahead of print]
MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments.
Choi M1, Chang CY, Clough T, Broudy D, Killeen T, Maclean B, Vitek O.

BMC Bioinformatics. 2012;13 Suppl 16:S6. doi: 10.1186/1471-2105-13-S16-S6. Epub 2012 Nov 5.
Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs.
Clough T, Thaminy S, Ragg S, Aebersold R, Vitek O.

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