Mass Dynamics
Mass Dynamics analyzes label-free quantification (LFQ) data from shotgun proteomics experiments to quantify relative protein abundance and support downstream proteomic analyses.
Key Features:
- Cloud-Based Architecture: Centralized cloud infrastructure for storage and processing of large-scale LFQ proteomics data.
- MaxQuant Integration: Imports LFQ output from MaxQuant for downstream analysis.
- Automated Processing and Visualization: Automates LFQ data processing and generates visualizations.
- Quality Control Reporting: Generates comprehensive quality control reports to assess experiment integrity.
- Standardized Workflows: Applies standardized analysis workflows with minimal manual parameterization to promote reproducibility.
- Benchmark Performance: Produces quantification results comparable to Perseus on benchmark datasets across a wide dynamic range.
Scientific Applications:
- Comparative Label-Free Proteomics: Quantification and comparison of relative protein abundances across biological samples using LFQ data.
- Pathway and Gene Set Enrichment: Enables pathway and gene set enrichment analyses from quantified proteomes.
- Proteomic Quality Control and Benchmarking: Assessment and benchmarking of LFQ dataset quality and quantification performance.
Methodology:
Automated processing of LFQ data (including import from MaxQuant), generation of visualizations and quality control reports, and centralized cloud-based storage and processing.
Details
- Added:
- 1/18/2024
- Last Updated:
- 1/18/2024
Operations
Data Inputs & Outputs
Analysis
Publications
Bloom J, Triantafyllidis A, Quaglieri A, Burton Ngov P, Infusini G, Webb A. Mass Dynamics 1.0: A Streamlined, Web-Based Environment for Analyzing, Sharing, and Integrating Label-Free Data. Journal of Proteome Research. 2021;20(11):5180-5188. doi:10.1021/acs.jproteome.1c00683. PMID:34647461.
Quaglieri A, Bloom J, Triantafyllidis A, Green B, Condina MR, Ngov PB, Infusini G, Webb AI. Mass Dynamics 2.0: An improved modular web-based platform for accelerated proteomics insight generation and decision making. Unknown Journal. 2022. doi:10.1101/2022.12.12.517480.