ONYX: Alignment-Free Biological Sex Inference Scores from Genomic Data

An alignment-free framework for biological sex inference from genomic sequencing data, evaluated using human, chicken, and Atlantic cod whole-genome sequencing data. The dataset, shared by Koji Ishiya on figshare under a CC-BY-4.0 license, was last updated on May 28, 2026. It contains the unified heterogametic signal score, KRhet, used to distinguish chromosomal sex configurations across different sex chromosome systems.

Use Cases

• Infer biological sex from sequencing reads based on the KRhet score described in the framework.
• Benchmark new sex inference methods against the alignment-free k-mer approach described.
• Apply a unified scoring method across distinct sex chromosome systems (XY, ZW) as demonstrated in the evaluation.

Strengths

• The framework was validated using data from three distinct species (human, chicken, Atlantic cod).
• The dataset is small (83.0 KB), facilitating quick download and inspection.
• The method is computationally efficient and alignment-free, as described in the summary.

Limitations

• The specific row count and column-level documentation are unknown.
• The dataset's small size (83.0 KB) suggests it contains summary results or scores, not raw sequencing data.

Provenance

Source

figshare

Collection Method

Likely contains processed scores (KRhet) generated by the ONYX framework from reference genomes and sequencing reads.

Freshness

Last updated 2026-05-28 06:20:52