Stephen Patrick Ficklin

The paper investigates DNA methylation-expression relationships in rice internode development using RNA-seq and bisulfite sequencing, finding specific methylation contexts correlate with gene expression patterns.

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.

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.

The paper examines heritable gene expression under salt stress in rice, identifying condition-specific heritable genes and their chromosomal distribution patterns.

The paper presents the reference genome of Chinese chestnut (C. mollissima) to aid in the restoration of threatened chestnut species by providing insights into disease resistance and genome evolution.