PhageCGRNet Predictions for Three Phage Genomes

PhageCGRNet predictions for three phage genomes are provided in a 5.5 KB Excel file. The data was uploaded by Ting Wang to figshare on April 9, 2026. It contains the output of a novel method that combines k-mer frequency and positional information for predicting phage host categories.

Use Cases

• Benchmarking new phage host prediction models against the PhageCGRNet method based on k-mer features.
• Training or validating machine learning models for genomics using a small, focused dataset of phage predictions.
• Analyzing the performance of convolutional neural networks applied to combined frequency and positional sequence features.

Strengths

• Dataset is small at 5.5 KB, facilitating quick download and inspection.
• Released under a permissive CC-BY-4.0 license for broad reuse.
• Based on a described novel method (PhageCGRNet) that incorporates both k-mer frequency and positional information.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset contains predictions for only three phage genomes, indicating a very limited scope.

Provenance

Source

figshare

Collection Method

Output from the PhageCGRNet prediction method, which uses a convolutional neural network on feature matrices derived from phage genome sequences.

Time Range

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Freshness

Last updated 2026-04 09 17:25:08; freshness should be verified.

Geography

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