title: OCAP: an open comprehensive analysis pipeline for iTRAQ.
abstract: Mass spectrometry-based iTRAQ protein quantification is a high-throughput assay for determining relative protein expressions and identifying disease biomarkers. Processing and analysis of these large and complex data involves a number of distinct components and it is desirable to have a pipeline to efficiently integrate these together. To date, there are limited public available comprehensive analysis pipelines for iTRAQ data and many of these existing pipelines have limited visualization tools and no convenient interfaces with downstream analyses. We have developed a new open source comprehensive iTRAQ analysis pipeline, OCAP, integrating a wavelet-based preprocessing algorithm which provides better peak picking, a new quantification algorithm and a suite of visualizsation tools. OCAP is mainly developed in C++ and is provided as a standalone version (OCAP_standalone) as well as an R package. The R package (OCAP) provides the necessary interfaces with downstream statistical analysis.
authors.affiliation: School of Mathematics and Statistics, University of Sydney, Camperdown, NSW2006, Australia. penghao.wang@sydney.edu.au
authors.forename: Penghao
authors.initials: P
authors.lastname: Wang
authors.forename: Pengyi
authors.initials: P
authors.lastname: Yang
authors.forename: Jean Yee Hwa
authors.initials: JY
authors.lastname: Yang
mesh_terms: D000465:Algorithms; D004194:Disease / Q000235:genetics; D006801:Humans; D013058:Mass Spectrometry; D011506:Proteins / Q000032:analysis / Q000235:genetics*; D040901:Proteomics / Q000295:instrumentation / Q000379:methods*; D012984:Software
chemical_list: D011506:Proteins