Article

Comparative Study of Encoded and Alignment-Based Methods for Virus Taxonomy Classification

2023-07-13

Abstract excerpt

The emergence of viruses and their variants has made virus taxonomy more important than ever before in controlling the spread of diseases. The creation of efficient treatments and cures that target particular virus properties can be aided by understanding virus taxonomy. Alignment-based methods are commonly used for this task, but are computationally expensive and time-consuming, especially when dealing with large...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3a216b5c-6a22-54b7-bab5-e4591d7acbfd
DOI: 10.21203/rs.3.rs-3140148/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Comparative Study of Encoded and Alignment-Based Methods for Virus Taxonomy ClassificationDOI 10.21203/rs.3.rs-3140148/v1Read

A novel Vector-Symbolic Architecture for graph encoding and its application to viral pangenome-based species classificationSemantic proximity Read

Methods for virus classification and the challenge of incorporating metagenomic sequence data.Semantic proximity Read

GRAViTy-V2: a grounded viral taxonomy applicationSemantic proximity Read

An open-source <i>k</i> -mer based machine learning tool for fast and accurate subtyping of HIV-1 genomesSemantic proximity Read

Comparative studies of alignment, alignment-free and SVM based approaches for predicting the hosts of viruses based on viral sequencesSemantic proximity Read

Short k-mer abundance profiles yield robust machine learning features and accurate classifiers for RNA virusesSemantic proximity Read

New Virus Variant Detection Based on the Optimal Natural Metric.Semantic proximity Read

Short k-mer Abundance Profiles Yield Robust Machine Learning Features and Accurate Classifiers for RNA VirusesSemantic proximity Read

ELM: Enhanced lowest common ancestor based method for detecting a pathogenic virus from a large sequence datasetSemantic proximity Read

A computational method for the identification of Dengue, Zika and Chikungunya virus species and genotypesSemantic proximity Read

Covary: A translation-aware framework for alignment-free phylogenetics using machine learningSemantic proximity Read

Deepvirusclassifier: a deep learning tool for classifying SARS-CoV-2 based on viral subtypes within the coronaviridae familySemantic proximity Read