Author: Karthi Balasubramanian; Nithin Nagaraj
Title: Automatic Identification of SARS Coronavirus using Compression-Complexity Measures Document date: 2020_3_27
ID: ljli6a2z_28
Snippet: Monge et al. in [29] have pointed out that complexity is not uniform throughout a genome. Regions including genes are more regular and have less complexity than regions that don't include a gene. This raises the issue of the length of the genome to be analyzed. Since the complexity is not uniform, it will be inaccurate to use the entire genome sequence for analysis and may possibly give erroneous results. Also the use of complete genome/gene sequ.....
Document: Monge et al. in [29] have pointed out that complexity is not uniform throughout a genome. Regions including genes are more regular and have less complexity than regions that don't include a gene. This raises the issue of the length of the genome to be analyzed. Since the complexity is not uniform, it will be inaccurate to use the entire genome sequence for analysis and may possibly give erroneous results. Also the use of complete genome/gene sequences is computationally intensive and is practically infeasible for scaling up for matching a large number of genetic sequences. [5] .
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