Yosuke Nishimura1,2, Takashi Yoshida2, Megumi Kuronishi1, Hideya Uehara3, Hiroyuki Ogata1, Susumu Goto1. 1. Institute for Chemical Research, Kyoto University, Uji, Kyoto 611-0011, Japan. 2. Graduate School of Agriculture, Kyoto University, Kitashirakawa-Oiwake, Sakyo-ku, Kyoto 606-8502, Japan. 3. SGI Japan, Ltd., Yebisu Garden Place Tower 31F, 4-20-3 Ebisu, Shibuya-ku, Tokyo 150-6031, Japan.
Abstract
SUMMARY: ViPTree is a web server provided through GenomeNet to generate viral proteomic trees for classification of viruses based on genome-wide similarities. Users can upload viral genomes sequenced either by genomics or metagenomics. ViPTree generates proteomic trees for the uploaded genomes together with flexibly selected reference viral genomes. ViPTree also serves as a platform to visually investigate genomic alignments and automatically annotated gene functions for the uploaded viral genomes, thus providing virus researchers the first choice for classifying and understanding newly sequenced viral genomes. AVAILABILITY AND IMPLEMENTATION: ViPTree is freely available at: http://www.genome.jp/viptree . CONTACT: goto@kuicr.kyoto-u.ac.jp. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
SUMMARY: ViPTree is a web server provided through GenomeNet to generate viral proteomic trees for classification of viruses based on genome-wide similarities. Users can upload viral genomes sequenced either by genomics or metagenomics. ViPTree generates proteomic trees for the uploaded genomes together with flexibly selected reference viral genomes. ViPTree also serves as a platform to visually investigate genomic alignments and automatically annotated gene functions for the uploaded viral genomes, thus providing virus researchers the first choice for classifying and understanding newly sequenced viral genomes. AVAILABILITY AND IMPLEMENTATION: ViPTree is freely available at: http://www.genome.jp/viptree . CONTACT: goto@kuicr.kyoto-u.ac.jp. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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