Author: Karthi Balasubramanian; Nithin Nagaraj
Title: Automatic Identification of SARS Coronavirus using Compression-Complexity Measures Document date: 2020_3_27
ID: ljli6a2z_9
Snippet: In this study, we propose a novel compression-complexity based distance measure for sequence analysis and identification. The paper is organized as follows. In section 2, a brief overview of genetic sequences and methods of analysis are described. Section 3 deals with the materials used (genome primary sequence data with their details) and the methods proposed in this study (novel distance measure for identification). Results on real data (nucleo.....
Document: In this study, we propose a novel compression-complexity based distance measure for sequence analysis and identification. The paper is organized as follows. In section 2, a brief overview of genetic sequences and methods of analysis are described. Section 3 deals with the materials used (genome primary sequence data with their details) and the methods proposed in this study (novel distance measure for identification). Results on real data (nucleotide sequences) followed by their analysis and discussion can be found in section 4. We conclude with future research directions in section 5.
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