Egovirales: 224 Metagenome-Assembled Genomes and Protein Models

Tom Delmont's study generated data for the identification and genomic characterisation of egoviruses, made available on figshare in April 2026. The dataset includes 224 Egovirales metagenome-assembled genomes (MAGs), reference and custom hidden Markov models (HMMs), and protein sequences for RNA polymerase and major capsid proteins. Supplementary tables, phylogenies, and a 3D protein structure model are also provided in the 97.4 MB collection.

Use Cases

• Phylogenetic analysis of viral evolution based on the provided RNA polymerase and major capsid protein sequences.
• Training custom HMMs for gene detection using the provided hidden Markov models targeting Egovirales core genes.
• Comparative genomics of large DNA viruses using the collection of 224 Egovirales metagenome-assembled genomes.
• Structural bioinformatics studies referencing the provided 3D model of the Egovirales DJR-MCP protein.

Strengths

• Includes 224 Egovirales metagenome-assembled genomes, some of which are complete.
• Provides multiple hidden Markov models (HMMs) for core genes and specific proteins like DJR-MCP and VLTF3.
• Dataset is 97.4 MB in size and contains diverse file types (ZIP, FA, PDF) for different analysis needs.

Limitations

• Row count and column-level documentation are unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific metagenomic survey and samples mentioned in the source study.

Provenance

Source

Tom Delmont via figshare.

Collection Method

Generated from a metagenomic survey and subsequent genomic characterisation study.

Freshness

Last updated 2026-04-18 06:39:44.