SILVER

SILVER quantifies stable isotope labeling mass spectrometry (MS) data for quantitative proteomics by providing spectrum-, peptide-, and protein-level measurement with integrated quality control.


Key Features:

  • Novel quality control methods: Implements multi-tiered QC at the spectrum, peptide, and protein levels to validate quantification results.
  • Quantification confidence filters and indices: Employs multiple confidence filters and indices tailored to refine accuracy of stable isotope-labeling quantification.
  • Performance verification: Benchmarked against MaxQuant and Proteome Discoverer using large-scale and standard datasets, demonstrating high accuracy, robustness, and significantly reduced processing time.

Scientific Applications:

  • Quantitative proteomics: Provides precise measurement of protein abundance using stable isotope labeling MS.
  • Biomarker discovery: Supports identification of differential protein abundance for biomarker studies.
  • Pathway analysis: Enables comparative quantification for pathway-level investigations.
  • Comparative proteomic studies: Facilitates condition-to-condition comparisons using stable isotope labeling approaches.

Methodology:

Implements spectrum-, peptide-, and protein-level QC methods and quantification confidence filters/indices, and was benchmarked against MaxQuant and Proteome Discoverer on large-scale and standard datasets with measurement of processing time.

Topics

Collections

Details

Tool Type:
desktop application
Operating Systems:
Windows
Programming Languages:
C++
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Chang C, Zhang J, Han M, Ma J, Zhang W, Wu S, Liu K, Xie H, He F, Zhu Y. SILVER: an efficient tool for stable isotope labeling LC-MS data quantitative analysis with quality control methods. Bioinformatics. 2013;30(4):586-587. doi:10.1093/bioinformatics/btt726. PMID:24344194.

Documentation

Links