Preprint Article Version 1 This version is not peer-reviewed

A Quantitative Genomic View of the Coronaviruses: SARS-COV2

Version 1 : Received: 21 March 2020 / Approved: 23 March 2020 / Online: 23 March 2020 (07:23:40 CET)

How to cite: Hassan, S.S.; Kumar Rout, R.; Sharma, V. A Quantitative Genomic View of the Coronaviruses: SARS-COV2. Preprints 2020, 2020030344 (doi: 10.20944/preprints202003.0344.v1). Hassan, S.S.; Kumar Rout, R.; Sharma, V. A Quantitative Genomic View of the Coronaviruses: SARS-COV2. Preprints 2020, 2020030344 (doi: 10.20944/preprints202003.0344.v1).

Abstract

In 2020, the pandemic caused by the Coronaviruses (CoV) that are a large family of viruses that cause illness ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS-CoV) and Severe Acute Respiratory Syndrome (SARS-CoV2). The Coronavirus disease (COVID-19) is a new strain that was discovered in 2019 and has not been previously identified in humans. It is the high time to investigate the quantitative and/or qualitative genomic informations of the virus SARS-CoV2 in order to strengthen the healthcare facility to fight against this viral disease. In this article, a through quantitative understanding of the purine and pyrimidine spatial distribution/organization of all 89 complete sequences of SARS-CoV (available as on date in the NCBI virus database, is made using different parameters such as fractal dimension, Hurst exponent, Shannon entropy and GC content of the nucleotide sequences of the genome of SARS-CoV2. Also a cluster among all the the SARS-CoV sequences of nucleotide have been made based on their phylogeny made through their closeness (Hamming distance) based on respective purine-pyrimidine distribution.

Subject Areas

fractal dimension; Shannon entropy; Hurst Exponent; GC Content & SARS-CoV2

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