A Quality Control (QC) pipeline for Proteomics (PTX) results generated by MaxQuant
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Updated
Mar 12, 2024 - HTML
A Quality Control (QC) pipeline for Proteomics (PTX) results generated by MaxQuant
Python Package for the downstream analysis of mass-spectrometry-based proteomics data
Enables working with external scripts and tools from within Perseus
Integration between Perseus and Python
R package for easy interop between Perseus and R
amica: an interactive and user-friendly web-based platform for the analysis of proteomics data
Provides reports for quantitative mass spectrometry data.
LabKey Server module for importing MaxQuant results, originated from the Ong lab at UW
Compares PAW and MQ for a 7-channel TMT experiment; compares edgeR to two-sample t-test
R-script to check incorporation level of heavy SILAC amino acids
Queue MaxQuant analysis by saving MaxQuant parameter files in a watch folder.
Developing mouse lens done with MQ
Pipeline and shiny app for the downstreaming analysis of quantitative proteomic data
R package that visualizes MaxQuant output of activity-based protein profiling experiments.
Functionality for processing and analysing HeLa data quality control (QC) and maintenance (MNT) samples processed by MaxQuant
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