SwathXtend

SwathXtend integrates spectral libraries and performs statistical analyses to improve peptide and protein identification and quantification from SWATH-MS (Sequential Windowed Acquisition of All Theoretical Mass Spectra) proteomics data.


Key Features:

  • Integration of Spectral Libraries: Generates extended peptide MS/MS assay libraries by combining local seed libraries with external community-derived assay libraries.
  • Enhanced SWATH-MS Performance: Demonstrates that combining local and external libraries increases the number of identified peptides and proteins and improves specificity for detecting differentially abundant proteins.
  • Statistical Analysis and Multiple Testing Correction: Implements statistical analyses including multiple testing corrections to support rigorous quantitative comparisons when searching large extended assay libraries.

Scientific Applications:

  • Differential abundance analysis: Detects changes in protein abundance with improved specificity in SWATH-MS-based proteomic studies.
  • Comprehensive proteome characterization: Enhances peptide and protein identification in complex proteome compositions by expanding assay library coverage.
  • SWATH-MS benchmarking and evaluation: Facilitates assessment of SWATH-MS performance across varying protein abundance scenarios using extended assay libraries.

Methodology:

Integrates local seed and external peptide MS/MS assay libraries and assesses SWATH-MS performance using test samples such as yeast extract peptides spiked into human K562 cell lysates at varying ratios.

Topics

Collections

Details

License:
GPL-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
11/25/2024

Operations

Publications

Wu JX, Song X, Pascovici D, Zaw T, Care N, Krisp C, Molloy MP. SWATH Mass Spectrometry Performance Using Extended Peptide MS/MS Assay Libraries. Molecular & Cellular Proteomics. 2016;15(7):2501-2514. doi:10.1074/mcp.m115.055558. PMID:27161445. PMCID:PMC4937520.

Documentation

Downloads