IQuant: An automated pipeline for quantitative proteomics based upon isobaric tags. Issue 20 (5th September 2014)

• Record Type: Journal Article
• Authors: Wen, Bo; Zhou, Ruo; Feng, Qiang; Wang, Quanhui; Wang, Jun; Liu, Siqi
• Is Part Of: Proteomics. Volume 14:Issue 20(2014:Oct.)
• Page Start: 2280
• Page End: 2285
• Publication Date: 2014-09-05
• Subjects: Proteins -- Separation -- Periodicals; Bioinformatics -- Periodicals; Proteomics -- Periodicals; Genomes -- Periodicals; Molecular genetics -- Periodicals; 572.605
• DOI: 10.1002/pmic.201300361
• Languages: English
• ISSNs: 1615-9853

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Quantitative proteomics technology based on isobaric tags is playing an important role in proteomic investigation. In this paper, we present an automated software, named IQuant, which integrates a postprocessing tool of protein identification and advanced statistical algorithms to process the MS/MS signals generated from the peptides labeled by isobaric tags and aims at proteomics quantification. The software of IQuant, which is freely downloaded at <ext-link ext-link-type="uri" xlink:href="http://sourceforge.net/projects/iquant/" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink">http://sourceforge.net/projects/iquant/</ext-link>, can run from a graphical user interface and a command‐line interface, and can work on both Windows and Linux systems.</p> </abstract>