Joseph G. Guhlin

Roost compiles avian influenza host genomics data and links species, genes, and mechanisms to evidence, highlighting gaps in research coverage.

EDTA v2 improves transposable element annotation in animal genomes by adding LINE/SINE detection and enhancing scalability and speed.

OrthoGLMM tests associations between species traits and gene content changes while accounting for phylogeny, recovering signals for bacterial diazotrophy, plant nodulation, and marine mammals.

The paper uses population genomics to identify three yellow-eyed penguin subspecies and links candidate genes to respiratory distress syndrome.

The paper presents the genome of Doleromyrma darwiniana and annotations for five additional Dolichoderinae species to assess genomic diversity and conservation within the subfamily.

D-BLUP integrates genomic BLUP into gradient-based machine learning by making it differentiable, allowing direct learning of variance and marker weights from prediction error.

This paper presents a cost-effective method for generating high-quality insect genomes and compares it to existing reference assemblies.

The paper uses genomic and phenotypic data to study the evolution of kakapo color polymorphism, finding genetic variants and evidence of balancing selection.

GALBA is a fully automated gene annotation pipeline combining miniprot and AUGUSTUS, achieving high accuracy in large vertebrate genomes and new species.

This paper uses whole-genome sequencing of kakapo to analyze genetic diversity and breeding values, showing how conservation management has maintained genetic diversity and providing tools for future recovery efforts.

The paper presents genome assemblies for two parasitoid wasps, identifies meiosis-related genes in asexual reproduction, and discovers a novel virus in one species.

The paper identifies germ-stem cell clusters in honeybee ovaries, showing they differ from Drosophila in structure and function.

The paper evaluates how sequencing data type, volume, and workflows affect genome assembly accuracy for Knightia excelsa, highlighting the importance of quality metrics and workflow optimization.