Spectral count, defined as the total number of spectra identified for a protein, has gained
acceptance as a practical, label-free, semiquantitative measure of protein abundance in …

Background Spectral counting methods provide an easy means of identifying proteins with
differing abundances between complex mixtures using shotgun proteomics data. The crux …

Spectral counting has become a commonly used approach for measuring protein
abundance in label-free shotgun proteomics. At the same time, the development of data …

Normalized spectral index quantification was recently presented as an accurate method of
labelfree quantitation, which improved spectral counting by incorporating the intensities of …

Label-free proteome quantification methods used in bottom-up mass-spectrometry based
proteomics are gaining more popularity as they are easy to apply and can be integrated into …

We describe Abacus, a computational tool for extracting spectral counts from MS/MS data
sets. The program aggregates data from multiple experiments, adjusts spectral counts to …

Motivation: Spectral count data generated from label-free tandem mass spectrometry-based
proteomic experiments can be used to quantify protein's abundances reliably. Comparing …

In this review we examine techniques, software, and statistical analyses used in labelfree
quantitative proteomics studies for area under the curve and spectral counting approaches …

The systematic analysis of biological processes requires an understanding of the
quantitative expression patterns of proteins, their interacting partners and their subcellular …

Spectral counting is a strategy to quantitate relative protein concentrations in pre-digested
protein mixtures analyzed by liquid chromatography online with tandem mass spectrometry …