z-logo
open-access-imgOpen Access
O18Quant: A Semiautomatic Strategy for Quantitative Analysis of High-Resolution16O/18O Labeled Data
Author(s) -
Yan Guo,
Masaru Miyagi,
Rong Zeng,
Quanhu Sheng
Publication year - 2014
Publication title -
biomed research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 126
eISSN - 2314-6141
pISSN - 2314-6133
DOI - 10.1155/2014/971857
Subject(s) - graphical user interface , computer science , software suite , software , visualization , data mining , outlier , resolution (logic) , quantitative proteomics , interface (matter) , suite , user interface , computational science , proteomics , programming language , chemistry , operating system , artificial intelligence , history , biochemistry , archaeology , bubble , maximum bubble pressure method , gene
Proteolytic 18 O-labeling has been widely used in quantitative proteomics since it can uniformly label all peptides from different kinds of proteins. There have been multiple algorithms and tools developed over the last few years to analyze high-resolution proteolytic 16 O/ 18 O labeled mass spectra. We have developed a software package, O18Quant, which addresses two major issues in the previously developed algorithms. First, O18Quant uses a robust linear model (RLM) for peptide-to-protein ratio estimation. RLM can minimize the effect of outliers instead of iteratively removing them which is a common practice in other approaches. Second, the existing algorithms lack applicable implementation. We address this by implementing O18Quant using C# under Microsoft.net framework and R. O18Quant automatically calculates the peptide/protein relative ratio and provides a friendly graphical user interface (GUI) which allows the user to manually validate the quantification results at scan, peptide, and protein levels. The intuitive GUI of O18Quant can greatly enhance the user's visualization and understanding of the data analysis. O18Quant can be downloaded for free as part of the software suite ProteomicsTools.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom