Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study
The 2019 novel coronavirus (renamed SARS-CoV-2, and generally referred to as the COVID-
19 virus) has spread to 184 countries with over 1.5 million confirmed cases. Such major viral …
19 virus) has spread to 184 countries with over 1.5 million confirmed cases. Such major viral …
ViraMiner: Deep learning on raw DNA sequences for identifying viral genomes in human samples
Despite its clinical importance, detection of highly divergent or yet unknown viruses is a
major challenge. When human samples are sequenced, conventional alignments classify …
major challenge. When human samples are sequenced, conventional alignments classify …
[PDF][PDF] Accurate identification of sars-cov-2 from viral genome sequences using deep learning
A Lopez-Rincon, A Tonda, L Mendoza-Maldonado… - BioRxiv, 2020 - academia.edu
One of the reasons for the fast spread of SARS-CoV-2 is the lack of accuracy in detection
tools in the clinical field. Molecular techniques, such as quantitative real-time RT-PCR and …
tools in the clinical field. Molecular techniques, such as quantitative real-time RT-PCR and …
Enabling artificial intelligence for genome sequence analysis of COVID-19 and alike viruses
Recent pandemic of COVID-19 (Coronavirus) caused by severe acute respiratory syndrome
Coronavirus 2 (SARS-CoV-2) has been growing lethally with unusual speed. It has infected …
Coronavirus 2 (SARS-CoV-2) has been growing lethally with unusual speed. It has infected …
Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes
S Cleemput, W Dumon, V Fonseca… - …, 2020 - academic.oup.com
Genome detective is a web-based, user-friendly software application to quickly and
accurately assemble all known virus genomes from next-generation sequencing datasets …
accurately assemble all known virus genomes from next-generation sequencing datasets …
Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning
A Lopez-Rincon, A Tonda, L Mendoza-Maldonado… - Scientific reports, 2021 - nature.com
In this paper, deep learning is coupled with explainable artificial intelligence techniques for
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …
Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool
The response of the global virus genomics community to the severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) pandemic has been unprecedented, with significant …
syndrome coronavirus 2 (SARS-CoV-2) pandemic has been unprecedented, with significant …
Betacoronavirus Genomes: How Genomic Information has been Used to Deal with Past Outbreaks and the COVID-19 Pandemic
In the 21st century, three highly pathogenic betacoronaviruses have emerged, with an
alarming rate of human morbidity and case fatality. Genomic information has been widely …
alarming rate of human morbidity and case fatality. Genomic information has been widely …
Interpretable detection of novel human viruses from genome sequencing data
JM Bartoszewicz, A Seidel… - NAR genomics and …, 2021 - academic.oup.com
Viruses evolve extremely quickly, so reliable methods for viral host prediction are necessary
to safeguard biosecurity and biosafety alike. Novel human-infecting viruses are difficult to …
to safeguard biosecurity and biosafety alike. Novel human-infecting viruses are difficult to …
Virtifier: a deep learning-based identifier for viral sequences from metagenomes
Y Miao, F Liu, T Hou, Y Liu - Bioinformatics, 2022 - academic.oup.com
Motivation Viruses, the most abundant biological entities on earth, are important
components of microbial communities, and as major human pathogens, they are …
components of microbial communities, and as major human pathogens, they are …