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10.1016/j.dib.2020.105618 http://scihub22266oqcxt.onion/10.1016/j.dib.2020.105618 32341946!7182522!32341946     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Data+Brief 2020 ; 30 (ä): 105618 Nephropedia Template TP {{tp|p=32341946|t=2020. Chaos game representation dataset of SARS-CoV-2 genome |pdf=|usr=}}{{32341946}} gab.com Text Chaos game representation dataset of SARS-CoV-2 genome JO: Data Brief http://www.kidney.de/pget.php?&tw=1&pmid=32341946 #FOAvip As of April 16, 2020, the novel coronavirus disease (called COVID-19) spread to more than 185 countries/regions with more than 142,000 deaths and more than 2,000,000 confirmed cases. In the bioinformatics area, one of the crucial points is the analysis of the virus nucleotide sequences using approaches such as data stream, digital signal processing, and machine learning techniques and algorithms. However, to make feasible this approach, it is necessary to transform the nucleotide sequences string to numerical values representation. Thus, the dataset provides a chaos game representation (CGR) of SARS-CoV-2 virus nucleotide sequences. The dataset provides the CGR of 100 instances of SARS-CoV-2 virus, 11540 instances of other viruses from the Virus-Host DB dataset, and three instances of Riboviria viruses from NCBI (Betacoronavirus RaTG13, bat-SL-CoVZC45, and bat-SL-CoVZXC21). Twit Text FOAVip Chaos game representation dataset of SARS-CoV-2 genome ????Data Brief http://www.kidney.de/pget.php?&tw=1&pmid=32341946 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32341946 #FOAvip English Wikipedia <ref>{{Cite pmid|32341946}}</ref> Chaos game representation dataset of SARS-CoV-2 genome #MMPMID32341946 Barbosa RM; Fernandes MAC Data Brief 2020[Jun]; 30 (ä): 105618 PMID32341946show ga As of April 16, 2020, the novel coronavirus disease (called COVID-19) spread to more than 185 countries/regions with more than 142,000 deaths and more than 2,000,000 confirmed cases. In the bioinformatics area, one of the crucial points is the analysis of the virus nucleotide sequences using approaches such as data stream, digital signal processing, and machine learning techniques and algorithms. However, to make feasible this approach, it is necessary to transform the nucleotide sequences string to numerical values representation. Thus, the dataset provides a chaos game representation (CGR) of SARS-CoV-2 virus nucleotide sequences. The dataset provides the CGR of 100 instances of SARS-CoV-2 virus, 11540 instances of other viruses from the Virus-Host DB dataset, and three instances of Riboviria viruses from NCBI (Betacoronavirus RaTG13, bat-SL-CoVZC45, and bat-SL-CoVZXC21). äChaos game representation dataset of SARS-CoV-2 genome (epmc).pdf DeepDyve Pubget Overpricing