Loren A. Honaas

The paper develops crop-specific Nanopore basecalling models for Rosaceae species to improve sequencing quality and enables community use of these models.

The paper predicts plant phenotypic traits using RNA-seq datasets and finds that few hundred samples suffice for tissue classification but thousands are needed for age prediction.

This study identifies PLL1 as a key gene for haustorium development in parasitic plants and shows its functional role through gene silencing experiments.

Granny uses deep learning and image processing to rate pome fruit quality traits, reducing rater bias and improving resolution while maintaining compatibility with existing standards.

The paper presents a haplotype-resolved, chromosome-scale genome for the apple cultivar WA 38, using short and long read sequencing data to assemble and segregate parental haplotomes.

This paper presents a chromosome-scale, phased genome assembly for the dAnjou pear, revealing gene content and duplication patterns.

The paper uses a large RNA-seq dataset to determine the sample size and normalization needed for accurate phenotypic trait prediction.

PlantTribes2 provides a scalable framework for gene family analysis across plant genomes, enabling comparative and evolutionary studies with customizable tools and visualizations.

The paper presents a fully phased, chromosome-scale genome of Honeycrisp apple, providing insights into genetic mechanisms of horticulturally important traits.