Affiliation:
1. Department of Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, 147004,
Punjab, India
Abstract
Introduction::
Severe Acute Respiratory Syndrome Coronavirus – 2, SARS-CoV-2, is a wellknown
virus for its fatal infectivity and widespread impact on the health of the worldwide population.
Genome sequencing is critical in understanding the virus’s behavior, origin, and genetic variants. This
article conducts an extensive literature review on the SARS-CoV-2 genome, including its Genome
Structure, Genome Analysis, Evolution, Mutation, and, Genome Computation. It highlights the summary
of clinical and evolutionary research along with the applicability of computational methods in the
areas. It lucidly presents the structural detail and mutation analysis of SARS-CoV-2 without overwhelming
the readers with difficult terms. In the pandemic, machine learning and deep learning
emerged as a paradigm change, that when combined with genome analysis, enabled more precise identification
and prognosis of the virus's impact. Molecular detailing is crucial in extracting features from
the SARS-CoV-2 genome before computation models are applied.
Methods:
Further, in this systematic study we investigate the usage of Machine Learning and Deep
Learning models mapped to SARS-CoV-2 genome samples to see their applicability in virus detection
and disease severity prediction. We searched research articles from various reputed journals explaining
the structure, evolution, mutations, and computational methods published until June 2022.
Results:
The paper summarizes significant trends in the research of SARS-COV-2 genomes. Furthermore,
this research also identifies the limitations and research gaps that yet have to be explored more
and indicates future directions.
Impact Statement::
There are few review articles on the SARS-CoV-2 genome; these reviews target various
aspects of the SARS-COV2 genome individually. This article considers all the aspects simultaneously
and provides in-depth knowledge about the SARS-CoV-2 genome.
Conclusion::
This article provides a detailed description about the type of samples, volumes of selection,
processes, and tools used by various researchers in their studies. Further, the computational techniques
applied to the SARS-COV2 genome are also discussed and analysed thoroughly.
Publisher
Bentham Science Publishers Ltd.
Subject
Computational Mathematics,Genetics,Molecular Biology,Biochemistry