Author: Dong, Rui; Zheng, Hui; Tian, Kun; Yau, Shek-Chung; Mao, Weiguang; Yu, Wenping; Yin, Changchuan; Yu, Chenglong; He, Rong Lucy; Yang, Jie; Yau, Stephen ST
Title: Virus Database and Online Inquiry System Based on Natural Vectors Document date: 2017_12_17
ID: 09a32vyg_14
Snippet: As natural vector method is nonassumption and does not rely on any model, it can be applied well on the whole virus dataset in GenBank. Thus, it can help fill in the high-missing classification labels in GenBank fast and accurately. Meantime, it provides insight into the sequences or genomes of viruses and their variants and shows the direction for biological experiments and medical research, especially for viral diseases......
Document: As natural vector method is nonassumption and does not rely on any model, it can be applied well on the whole virus dataset in GenBank. Thus, it can help fill in the high-missing classification labels in GenBank fast and accurately. Meantime, it provides insight into the sequences or genomes of viruses and their variants and shows the direction for biological experiments and medical research, especially for viral diseases.
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