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Full-Text Articles in Virology
Research Article A New Informatics Framework For Evaluating The Codon Usage Metrics, Evolutionary Models And Phylogeographic Reconstruction Of Tomato Yellow Leaf Curl Virus (Tylcv) In Different Regions Of Asian Countries, Mamathashree Mn, Kuralyanapalya Putta Honnappa Suresh, Sharanagouda S Patil, Uma Bharathi Indrabalan, Mallikarjun S Beelagi, Sushma Pradeep, Krishnamoorthy Paramanandham, Siju Susan Jacob, Chandrashekar Srinivasa, Shiva Prasad Kollur, Raghu Ram Achar, Ashwini Prasad, Shashanka K Prasad, Chandan Shivamallu
Research Article A New Informatics Framework For Evaluating The Codon Usage Metrics, Evolutionary Models And Phylogeographic Reconstruction Of Tomato Yellow Leaf Curl Virus (Tylcv) In Different Regions Of Asian Countries, Mamathashree Mn, Kuralyanapalya Putta Honnappa Suresh, Sharanagouda S Patil, Uma Bharathi Indrabalan, Mallikarjun S Beelagi, Sushma Pradeep, Krishnamoorthy Paramanandham, Siju Susan Jacob, Chandrashekar Srinivasa, Shiva Prasad Kollur, Raghu Ram Achar, Ashwini Prasad, Shashanka K Prasad, Chandan Shivamallu
International Journal of Health and Allied Sciences
Tomato yellow leaf curl virus (TYLCV) is a major devastating viral disease, majorly affecting the tomato production globally. The disease is majorly transmitted by the Whitefly. The Begomovirus (TYLCV) having a six major protein coding genes, among them the C1/AC1 is evidently associated with viral replication. Owing to immense role of C1/AC1 gene, the present study is an initial effort to elucidate the factors shaping the codon usage bias and evolutionary pattern of TYLCV-C1/AC1 gene in five major Asian countries. Based on publically available nucleotide sequence data the Codon usage pattern, Evolutionary and Phylogeographic reconstruction was carried out. The study …
Artificial Intelligence And Machine Learning Based Techniques In Analyzing The Covid-19 Gene Expression Data: A Review, Santhosh K, Ajitha S, Sushma Pradeep, Kuralyanapalya Putta Honnappa Suresh, Sharanagouda S Patil, Shiva Prasad Kollur, Chandan Shivmallu
Artificial Intelligence And Machine Learning Based Techniques In Analyzing The Covid-19 Gene Expression Data: A Review, Santhosh K, Ajitha S, Sushma Pradeep, Kuralyanapalya Putta Honnappa Suresh, Sharanagouda S Patil, Shiva Prasad Kollur, Chandan Shivmallu
International Journal of Health and Allied Sciences
The novel Coronavirus associated with respiratory illness has become a new threat to human health as it is spreading very rapidly among the human population. Scientists and healthcare specialists throughout the world are still looking for a breakthrough technology to help combat the Covid-19 outbreak, despite the recent worldwide urgency. The use of Machine Learning (ML) and Artificial Intelligence (AI) in earlier epidemics has encouraged researchers by providing a fresh approach to combating the latest Coronavirus pandemic. This paper aims to comprehensively review the role of AI and ML for analysis of gene expressed data of COVID-19