Multi-Omics Data for Pig Carcass Yield and Meat Quality Traits, 162 Samples

A 2026 dataset from 162 pigs provides genomic, transcriptomic, and metabolomic data for integrative analysis of carcass yield and meat quality traits. Genomic data from whole-genome sequencing, RNA-seq from three tissues, and LC–MS/MS metabolomics from loin muscle are included. The data, shared by Patrick Tecku under CC-BY-4.0, supports GWAS, eQTL mapping, and network analyses to investigate genetic and metabolic mechanisms.

Use Cases

• Conduct genome-wide association studies (GWAS) based on whole-genome sequencing variant data.
• Perform expression quantitative trait loci (eQTL) mapping based on RNA-seq data from backfat, liver, and loin muscle.
• Investigate metabolic mechanisms underlying meat quality traits based on LC–MS/MS metabolite abundances.
• Apply weighted gene co-expression network analysis (WGCNA) based on multi-tissue transcriptome data.

Strengths

• Integrates three omics layers—genomic, transcriptomic, and metabolomic—from the same 162 animals.
• RNA-seq data is provided from three distinct tissues (backfat, liver, loin muscle), allowing for tissue-specific analysis.
• Metabolomics data includes both positive and negative ionization modes from LC–MS/MS.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for each data modality is unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific pig population and experimental design.

Provenance

Source

Patrick Tecku via figshare

Collection Method

Data generated from 162 pigs using whole-genome sequencing, RNA-seq, and LC–MS/MS metabolomics.

Freshness

Last updated 2026-04-18 00:28:48.