Alignment-free viral sequence classification at scale

Alignment-free viral sequence classification at scale

Abstract Background The rapid increase in nucleotide sequence data generated by next-generation sequencing (NGS) technologies demands efficient computational tools for sequence comparison. Alignment-free (AF) methods offer a scalable alternative to traditional alignment-based approaches such as BLAS...

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Main Authors: Daniel J. van Zyl, Marcel Dunaiski, Houriiyah Tegally, Cheryl Baxter, Tulio de Oliveira, Joicymara S. Xavier, The INFORM Africa research study group
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Genomics
Subjects:
Feature extraction
Biological sequences
Alignment-free
Machine learning
Virus classification
Online Access:https://doi.org/10.1186/s12864-025-11554-5
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https://doi.org/10.1186/s12864-025-11554-5

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