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Dataset Information

Identification of key LncRNAs and mRNAs associated with intramuscular fat in pig via WGCNA.


ABSTRACT:

Background

Intramuscular fat (IMF) not only directly affects the tenderness, juiciness, and overall flavour of meat but also plays a significant role in influencing consumer preferences for pork. Therefore, exploring key biomarkers that influence IMF deposition is highly important for breeding high-quality pork. IMF is a typical quantitative trait that is regulated by the interaction of multiple coding and noncoding RNAs. Traditional differential analysis methods typically focus on individual genes, making it difficult to identify key genes and their underlying mechanisms accurately. Weighted gene coexpression network analysis (WGCNA) is an efficient and accurate method for identifying and characterizing key pathways and genes associated with complex traits. Therefore, the aim of t

SUBMITTER: Li W 

PROVIDER: S-EPMC11895181 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature