Literature DB >> 25794139

CAPER 3.0: A Scalable Cloud-Based System for Data-Intensive Analysis of Chromosome-Centric Human Proteome Project Data Sets.

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

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Year:  2015        PMID: 25794139     DOI: 10.1021/pr501335w

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  4 in total

Review 1.  Advances in the Chromosome-Centric Human Proteome Project: looking to the future.

Authors:  Young-Ki Paik; Gilbert S Omenn; William S Hancock; Lydie Lane; Christopher M Overall
Journal:  Expert Rev Proteomics       Date:  2017-11-10       Impact factor: 3.940

2.  MI-PVT: A Tool for Visualizing the Chromosome-Centric Human Proteome.

Authors:  Bharat Panwar; Rajasree Menon; Ridvan Eksi; Gilbert S Omenn; Yuanfang Guan
Journal:  J Proteome Res       Date:  2015-08-03       Impact factor: 4.466

Review 3.  Proteogenomics from a bioinformatics angle: A growing field.

Authors:  Gerben Menschaert; David Fenyö
Journal:  Mass Spectrom Rev       Date:  2015-12-15       Impact factor: 10.946

4.  proBAMsuite, a Bioinformatics Framework for Genome-Based Representation and Analysis of Proteomics Data.

Authors:  Xiaojing Wang; Robbert J C Slebos; Matthew C Chambers; David L Tabb; Daniel C Liebler; Bing Zhang
Journal:  Mol Cell Proteomics       Date:  2015-12-11       Impact factor: 5.911

  4 in total

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