Classification-based quantitative analysis of stable isotope labeling by amino acids in cell culture (SILAC) data.

ABSTRACT:

Background and objective

Stable isotope labeling by amino acids in cell culture (SILAC) is a practical and powerful approach for quantitative proteomic analysis. A key advantage of SILAC is the ability to simultaneously detect the isotopically labeled peptides in a single instrument run and so guarantee relative quantitation for a large number of peptides without introducing any variation caused by separate experiment. However, there are a few approaches available to assessing protein ratios and none of the existing algorithms pays considerable attention to the proteins having only one peptide hit.

Methods

We introduce new quantitative approaches to dealing with SILAC protein-level summary using classification-based methodologies, such as Gaussian mixture models with EM algo

SUBMITTER: Kim S 

PROVIDER: S-EPMC5260509 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature