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_26
Hyperlink: Download document. Google Scholar. " on the first line (which is similar to FASTA file), they can submit a nucleotide sequence with or without the Baltimore and family labels. If no label is chosen, the calculation would be done in the whole database and the prediction of which Baltimore class and family it belongs to would be made. If the sequence and Baltimore class label are submitted, but without a family label, the calculation will be done within the Baltimore class, and then the prediction of whether the query virus is in the Baltimore class or not would be made. If the family label is also submitted, then the system would predict whether it is in the family or not. As soon as the system receives a request with the verification code to ensure human requiring rather than attack from a malicious hacker, it will calculate the corresponding natural vector as well as the distances between the submitted sequence and the viruses in VirusDB. Besides, when we make a prediction, we set up a cutoff rate of 75%, which means that only when the distance between the reference virus and its nearest neighbor is smaller than 75% of the distances in the family, we will make the prediction that this virus belongs to the same class as its nearest neighbor. In this way, the accuracy rate is dramatically improved up to 90% for the predicted ones. 8 Figure 3 displays the screenshots of the procedure of submission and prediction of a single-segmented virus. It shows that the system successfully predicted a Parvoviridae virus. For a multiple-segmented virus, users can choose "Multiple Segments" and upload the corresponding FASTA files to get the results."> Related documents.
Snippet: Virus Prediction System includes Submit Sequences and Get Result. Our basic workflow is shown in Figure 2 . The users are inquired to choose either single segment or multiple segments of the viruses. With a little instruction beginning with a symbol ">" on the first line (which is similar to FASTA file), they can submit a nucleotide sequence with or without the Baltimore and family labels. If no label is chosen, the calculation would be done in t.....
Document: Virus Prediction System includes Submit Sequences and Get Result. Our basic workflow is shown in Figure 2 . The users are inquired to choose either single segment or multiple segments of the viruses. With a little instruction beginning with a symbol ">" on the first line (which is similar to FASTA file), they can submit a nucleotide sequence with or without the Baltimore and family labels. If no label is chosen, the calculation would be done in the whole database and the prediction of which Baltimore class and family it belongs to would be made. If the sequence and Baltimore class label are submitted, but without a family label, the calculation will be done within the Baltimore class, and then the prediction of whether the query virus is in the Baltimore class or not would be made. If the family label is also submitted, then the system would predict whether it is in the family or not. As soon as the system receives a request with the verification code to ensure human requiring rather than attack from a malicious hacker, it will calculate the corresponding natural vector as well as the distances between the submitted sequence and the viruses in VirusDB. Besides, when we make a prediction, we set up a cutoff rate of 75%, which means that only when the distance between the reference virus and its nearest neighbor is smaller than 75% of the distances in the family, we will make the prediction that this virus belongs to the same class as its nearest neighbor. In this way, the accuracy rate is dramatically improved up to 90% for the predicted ones. 8 Figure 3 displays the screenshots of the procedure of submission and prediction of a single-segmented virus. It shows that the system successfully predicted a Parvoviridae virus. For a multiple-segmented virus, users can choose "Multiple Segments" and upload the corresponding FASTA files to get the results.
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