Dataset Information
A novel comprehensive wave-form MS data processing method.
Ontology highlight
ABSTRACT: Motivation
Mass spectrometry (MS) can generate high-throughput protein profiles for biomedical research to discover biologically related protein patterns/biomarkers. The noisy functional MS data collected by current technologies, however, require consistent, sensitive and robust data-processing techniques for successful biomedical application. Therefore, it is important to detect features precisely for each spectrum, quantify them well and assign a unique label to features from the same protein/peptide across spectra.Results
In this article, we propose a new comprehensive MS data preprocessing package, Wave-spec, which includes several novel algorithms. It can overcome several conventional difficulties. Wave-spec can be applied to multiple types of MS data generated with different MS technologies. Results from this new package were evaluated and compared to several existing approaches based on a MALDI-TOF MS dataset.Availability
An example of MATLAB scripts used to implement the methods described in this article, along with Supplementary Figures, can be found at http://www.vicc.org/biostatistics/supp.php.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Chen S
PROVIDER: S-EPMC2732299 | biostudies-literature | 2009 Mar
REPOSITORIES: biostudies-literature
Publications
A novel comprehensive wave-form MS data processing method.
Bioinformatics (Oxford, England) 20090128 6
<h4>Motivation</h4>Mass spectrometry (MS) can generate high-throughput protein profiles for biomedical research to discover biologically related protein patterns/biomarkers. The noisy functional MS data collected by current technologies, however, require consistent, sensitive and robust data-processing techniques for successful biomedical application. Therefore, it is important to detect features precisely for each spectrum, quantify them well and assign a unique label to features from the same ...[more]