Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/112457
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Virus database and online inquiry system based on natural vectors
Author: Dong, R.
Zheng, H.
Tian, K.
Yau, S.-C.
Mao, W.
Yu, W.
Yin, C.
Yu, C.
He, R.
Yang, J.
Yau, S.
Citation: Evolutionary Bioinformatics, 2017; 13:1-7
Publisher: Libertas Academica
Issue Date: 2017
ISSN: 1176-9343
1176-9343
Statement of
Responsibility: 
Rui Dong, Hui Zheng, Kun Tian, Shek-Chung Yau, Weiguang Mao, Wenping Yu, Changchuan Yin, Chenglong Yu, Rong Lucy He, Jie Yang, Stephen ST Yau
Abstract: We construct a virus database called VirusDB (http://yaulab.math.tsinghua.edu.cn/VirusDB/) and an online inquiry system to serve people who are interested in viral classification and prediction. The database stores all viral genomes, their corresponding natural vectors, and the classification information of the single/multiple-segmented viral reference sequences downloaded from National Center for Biotechnology Information. The online inquiry system serves the purpose of computing natural vectors and their distances based on submitted genomes, providing an online interface for accessing and using the database for viral classification and prediction, and back-end processes for automatic and manual updating of database content to synchronize with GenBank. Submitted genomes data in FASTA format will be carried out and the prediction results with 5 closest neighbors and their classifications will be returned by email. Considering the one-to-one correspondence between sequence and natural vector, time efficiency, and high accuracy, natural vector is a significant advance compared with alignment methods, which makes VirusDB a useful database in further research.
Keywords: classification
database
genome sequences
natural vector
virus
Rights: © The Author(s) 2017. Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
DOI: 10.1177/1176934317746667
Appears in Collections:Aurora harvest 8
Medicine publications

Files in This Item:
File Description SizeFormat 
hdl_112457.pdfPublished version1.27 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.