Enhanced peptide quantification using spectral count clustering and cluster abundance.

ABSTRACT:

Background

Quantification of protein expression by means of mass spectrometry (MS) has been introduced in various proteomics studies. In particular, two label-free quantification methods, such as spectral counting and spectra feature analysis have been extensively investigated in a wide variety of proteomic studies. The cornerstone of both methods is peptide identification based on a proteomic database search and subsequent estimation of peptide retention time. However, they often suffer from restrictive database search and inaccurate estimation of the liquid chromatography (LC) retention time. Furthermore, conventional peptide identification methods based on the spectral library search algorithms such as SEQUEST or SpectraST have been found to provide neither the best match nor hi

SUBMITTER: Lee S 

PROVIDER: S-EPMC3234305 | biostudies-literature | 2011 Oct

REPOSITORIES: biostudies-literature