SQuAPP

SQuAPP performs integrative quantitative analysis of protein, peptide, and post-translational modification (PTM) datasets to detect protein-level-independent modulation of modifications and support comparative proteomic interpretation.


Key Features:

  • Workflow-based processing: Implements a structured workflow encompassing quality control, pre-processing, statistical analysis, and visualization of quantitative proteomics data.
  • Multi-level data integration: Handles protein, peptide, and PTM datasets simultaneously to enable combined analysis across molecular levels.
  • PTM-level modulation detection: Identifies protein-level-independent modulation of modifications and assesses dynamic interactions among different PTMs.
  • Parallel dataset processing: Supports parallel processing of protein, peptide, and PTM datasets for comprehensive examination and interpretation.

Scientific Applications:

  • PTM-focused proteomics: Analysis of modulation of the proteome by PTMs such as phosphorylation and proteolytic processing.
  • Integrative proteomic interpretation: Uncovering intricate relationships within proteomic data through combined protein, peptide, and PTM analysis.

Methodology:

Processes quantitative proteomics data through quality control, pre-processing, statistical analysis, and parallel analysis of protein, peptide, and PTM datasets.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
11/5/2022
Last Updated:
11/24/2024

Operations

Publications

Ergin EK, Uzozie AC, Chen S, Su Y, Lange PF. SQuAPP—simple quantitative analysis of proteins and PTMs. Bioinformatics. 2022;38(21):4956-4958. doi:10.1093/bioinformatics/btac628. PMID:36102800.

PMID: 36102800
Funding: - Natural Sciences and Engineering Research Council of Canada: #RGPIN-2018-05645

Documentation

Links