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
User manual
https://github.com/LangeLab/SQuAPP/wikiLinks
Repository
https://github.com/LangeLab/SQuAPP