A deep learning-based model for mutation rate prediction of COVID -19 using genomic sequences
Author:
Affiliation:
1. VIT Bhopal University,Madhya Pradesh,India
2. AL-Nisour University College,Baghdad,Iraq
3. Al-Manara College For Medical Sciences,Maysan,Iraq
4. National University of Science and Technology,Dhi Qar,Iraq
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10537602/10537618/10537657.pdf?arnumber=10537657
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1. Direct RNA nanopore sequencing of full-length coronavirus genomes provides novel insights into structural variants and enables modification analysis
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3. Whole-genome sequence analysis and homology modelling of the main protease and non-structural protein 3 of SARS-CoV-2 reveal an aza-peptide and a lead inhibitor with possible antiviral properties
4. The molecular biology of intracellular events during Coronavirus infection cycle
5. Detection of COVID-19 cases through X-ray images using hybrid deep neural network
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