Developing mouse lens done with MQ
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Updated
Dec 10, 2018 - HTML
Developing mouse lens done with MQ
Tandem Mass Tag (TMT) dilution series analysis
R analysis of TMT data from Yeast triple knockout strains (Paulo et al., 2016, JASMS, v27, p1620-25)
Yeast TMT data - 3 different carbon sources (from Gygi lab) analyzed with PAW pipeline and MaxQuant
Re-analysis of data from childhood acute lymphoblastic leukemia study in Nat. Comm. April 2019
Analysis of technical replicate channels to more fully validate the internal reference scaling (IRS) method.
Public TMT data comparing MS2 to MS3 methods
Comparison of SPS MS3 TMT data to MS2 TMT data
Data from Plubell et al., 2017 processed with the PAW pipeline.
Quantitative mass spectrometry workflow. Currently supports proteomics experiments with complex experimental designs for DDA-LFQ, DDA-Isobaric and DIA-LFQ quantification.
Compares PAW and MQ for a 7-channel TMT experiment; compares edgeR to two-sample t-test
An open-source Python package for accurate and sensitive peptide and protein quantification.
Converter from Census TMT output file to the input of MSstatsTMT
Examples of TMT data analyses using R. Links to notebooks and repositories. Also a few spectral counting analyses.
Data Reduction System (DRS) for the Thirty Meter Telescope IRIS imager/spectrograph
A Comet-based, best practices proteomics pipeline.
An exploration of internal reference scaling (IRS) normalization in isobaric tagging proteomics experiments.
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