M.C.A.M. Bink

The paper integrates tissue-specific epigenetic annotations into genomic predictions of gene expression in three pig breeds, improving eQTL mapping interpretability but facing challenges in cross-breed predictions.

The paper presents a high-quality chromosome-level turkey genome assembly using long-read technologies and Hi-C data, revealing structural variations and a large inversion on the Z chromosome.

This study evaluates genomic prediction models incorporating gene transcripts and finds that transcript-based models improve accuracy when phenotypes are measured close to transcript sampling, but combining transcript and SNP data does not consistently outperform single-omics models.

This study compares linear models and gradient boosting machine for predicting complex traits in outbred mice, finding linear models generally outperform GBM, except for traits with epistatic effects.

The paper develops a workflow to generate high-quality SNP genotypic data for apple, peach, and sweet cherry using pedigree records and inheritance principles, resulting in curated haploblock data sets.