SARS-CoV-2 CGR Genome Image Dataset

Published: 2 April 2024| Version 1 | DOI: 10.17632/zbk2wz5zsj.1
Contributors:
, Marcelo Fernandes

Description

This dataset comprises image representations generated through the Chaos Game Representation (CGR) of SARS-CoV-2 complete genome sequences. Designed to support a wide array of computational biology and deep learning tasks, it facilitates not only the classification of viral variants but also opens avenues for diverse analytical studies due to its rich, image-based genomic encoding.

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Institutions

Universidad de Sevilla, Universidade Federal do Rio Grande do Norte

Categories

Chaos Theory, Machine Learning, Image Classification, Deep Learning, Genome Sequencing, Severe Acute Respiratory Syndrome Coronavirus 2

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