| Literature DB >> 25794139 |
Shuai Yang1,2, Xinlei Zhang3, Lihong Diao1,2, Feifei Guo1,2,4, Dan Wang1,2, Zhongyang Liu1,2, Honglei Li3, Junjie Zheng1,2, Jingshan Pan5, Edouard C Nice6, Dong Li1,2, Fuchu He1,2.
Abstract
The Chromosome-centric Human Proteome Project (C-HPP) aims to catalog genome-encoded proteins using a chromosome-by-chromosome strategy. As the C-HPP proceeds, the increasing requirement for data-intensive analysis of the MS/MS data poses a challenge to the proteomic community, especially small laboratories lacking computational infrastructure. To address this challenge, we have updated the previous CAPER browser into a higher version, CAPER 3.0, which is a scalable cloud-based system for data-intensive analysis of C-HPP data sets. CAPER 3.0 uses cloud computing technology to facilitate MS/MS-based peptide identification. In particular, it can use both public and private cloud, facilitating the analysis of C-HPP data sets. CAPER 3.0 provides a graphical user interface (GUI) to help users transfer data, configure jobs, track progress, and visualize the results comprehensively. These features enable users without programming expertise to easily conduct data-intensive analysis using CAPER 3.0. Here, we illustrate the usage of CAPER 3.0 with four specific mass spectral data-intensive problems: detecting novel peptides, identifying single amino acid variants (SAVs) derived from known missense mutations, identifying sample-specific SAVs, and identifying exon-skipping events. CAPER 3.0 is available at http://prodigy.bprc.ac.cn/caper3.Entities:
Keywords: Chromosome-centric Human Proteome Project; Proteomic data analysis platform; big data; bioinformatics; cloud computing; proteomic data visualization
Mesh:
Substances:
Year: 2015 PMID: 25794139 DOI: 10.1021/pr501335w
Source DB: PubMed Journal: J Proteome Res ISSN: 1535-3893 Impact factor: 4.466