Isobel A. P. Parkin

This study evaluates genome prediction accuracy in Brassica napus using nested association mapping, finding that rrBLUP and RKHS models and SNaP markers improve prediction accuracy for agronomic traits.

The paper reports new genome assemblies of Camelina species, revealing subgenome dominance patterns linked to chromosomal proximity and structure in polyploid evolution.

This study compares metabolomic and transcriptomic profiles of three Brassicaceae crops to identify differential responses to environmental stress.

This study identifies molecular mechanisms underlying flowering time variation in Camelina sativa using transcriptomic and genetic analyses.

This paper shows deep neural networks for genomic prediction do not estimate marker effects, instead relying on genetic relatedness.

The paper updates ePlant to support 15 new plant species and adds new viewers and data sets, including single-cell RNA-seq data for Arabidopsis roots.

The paper uses long-read sequencing to identify widespread small to mid-scale structural variants in Brassica napus, showing their impact on gene function and agronomic traits.

The paper generates high-contiguity long-read assemblies of Brassica nigra, enabling localization of active centromeres and insights into the ancestral Brassica genome.