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Bioinformatics
Article . 2012 . Peer-reviewed
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Bioinformatics
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Bioinformatics
Article . 2012
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Article . 2021
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OCAP: an open comprehensive analysis pipeline for iTRAQ

Authors: Penghao Wang; Pengyi Yang; Jean Yee Hwa Yang;

OCAP: an open comprehensive analysis pipeline for iTRAQ

Abstract

Abstract Motivation: 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. Availability: OCAP is freely available and can be downloaded at http://www.maths.usyd.edu.au/u/penghao Contact: penghao.wang@sydney.edu.au

Related Organizations
Keywords

Proteomics, Humans, Proteins, Disease, Algorithms, Mass Spectrometry, Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Average
Top 10%
gold