Gordon Grant Simpson

This study shows that disrupting the mRNA m6A writer complex in Arabidopsis triggers autoimmunity, with temperature-dependent effects on gene expression and pathogen resistance.

The paper shows that m6A modification of U6 snRNA by METT-10 is essential for accurate and efficient cis- and trans-splicing in C. elegans pre-mRNAs.

The paper shows that variation in 5 splice site sequence preferences correlates with the presence of METTL16 and SNRNP27K, using inter-species association mapping in Saccharomycotina species.

The paper shows that m6A modification of U6 snRNA affects splicing accuracy and efficiency, revealing two major classes of 5' splice sites in eukaryotes.

This paper presents a chromosome-scale genome assembly and genetic map for greater yam, identifies quantitative trait loci for disease and quality traits, and reveals domestication-related genetic patterns.

Yanocomp predicts m6A modifications in Nanopore direct RNA reads by modeling adjacent kmers and accounting for outliers, enabling stoichiometry measurement and correlation with RNA processing events.

The paper shows that the FPA protein causes premature termination of NLR gene transcripts in Arabidopsis thaliana, regulating their expression and immune function.

The paper improves intron detection in long-read RNA sequencing by filtering spurious splice junctions using machine learning and a two-pass alignment approach.

This study uses nanopore direct RNA sequencing to map the m6A epitranscriptome in Arabidopsis, revealing its role in mRNA processing and circadian rhythms.

This study evaluates DGE tools' performance in Arabidopsis thaliana, finding that their false positive rates are not strongly affected by transcriptome complexity.

RoSA detects and corrects spurious antisense RNA-seq reads in strand-specific datasets, improving accuracy in antisense transcription analysis.

RATs identifies differential transcript usage from transcript abundance estimates, finds novel events, and highlights annotation dependency issues in RNA-seq data.