Computational Method for Classification of Avian Influenza A Virus Using DNA Sequence Information and Physicochemical Properties.

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Title: Computational Method for Classification of Avian Influenza A Virus Using DNA Sequence Information and Physicochemical Properties.
Authors: Humayun F; State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China., Khan F; Department of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, Pakistan., Fawad N; Poultry Research Institute, Rawalpindi, Pakistan., Shamas S; Department of Zoology, University of Gujrat, Gujrat, Pakistan., Fazal S; Department of Bioinformatics and Biosciences, Capital University of Science and Technology, Islamabad, Pakistan., Khan A; State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China., Ali A; State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China., Farhan A; Department of Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Pakistan., Wei DQ; State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
Source: Frontiers in genetics [Front Genet] 2021 Jan 28; Vol. 12, pp. 599321. Date of Electronic Publication: 2021 Jan 28 (Print Publication: 2021).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1664-8021
DOI:10.3389/fgene.2021.599321