Literature DB >> 23256906

CAPER: a chromosome-assembled human proteome browsER.

Feifei Guo1, Dan Wang, Zhongyang Liu, Liang Lu, Wei Zhang, Haiyan Sun, Hongxing Zhang, Jie Ma, Songfeng Wu, Ning Li, Ying Jiang, Weimin Zhu, Jun Qin, Ping Xu, Dong Li, Fuchu He.   

Abstract

High-throughput mass spectrometry and antibody-based experiments have begun to produce a large amount of proteomic data sets. Chromosome-based visualization of these data sets and their annotations can help effectively integrate, organize, and analyze them. Therefore, we developed a web-based, user-friendly Chromosome-Assembled human Proteome browsER (CAPER). To display proteomic data sets and related annotations comprehensively, CAPER employs two distinct visualization strategies: track-view for the sequence/site information and the correspondence between proteome, transcriptome, genome, and chromosome and heatmap-view for the qualitative and quantitative functional annotations. CAPER supports data browsing at multiple scales through Google Map-like smooth navigation, zooming, and positioning with chromosomes as the reference coordinate. Both track-view and heatmap-view can mutually switch, providing a high-quality user interface. Taken together, CAPER will greatly facilitate the complete annotation and functional interpretation of the human genome by proteomic approaches, thereby making a significant contribution to the Chromosome-Centric Human Proteome Project and even the human physiology/pathology research. CAPER can be accessed at http://www.bprc.ac.cn/CAPE .

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Year:  2012        PMID: 23256906     DOI: 10.1021/pr300831z

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


  4 in total

Review 1.  Methods, Tools and Current Perspectives in Proteogenomics.

Authors:  Kelly V Ruggles; Karsten Krug; Xiaojing Wang; Karl R Clauser; Jing Wang; Samuel H Payne; David Fenyö; Bing Zhang; D R Mani
Journal:  Mol Cell Proteomics       Date:  2017-04-29       Impact factor: 5.911

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

3.  Metrics for the Human Proteome Project 2013-2014 and strategies for finding missing proteins.

Authors:  Lydie Lane; Amos Bairoch; Ronald C Beavis; Eric W Deutsch; Pascale Gaudet; Emma Lundberg; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2013-12-23       Impact factor: 4.466

4.  The Gene-Centric Content Management System and Its Application for Cognitive Proteomics.

Authors:  Ekaterina V Poverennaya; Alexander V Shargunov; Elena A Ponomarenko; Andrey V Lisitsa
Journal:  Proteomes       Date:  2018-02-23
  4 in total

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