Biology
- Bayesian marker-based principal component ridge regression – a flexible multipurpose framework for quantitative genetics in wild study systems
- Environment, plant genetics, and their interaction shape important aspects of sunflower rhizosphere microbial communities
- Quantitative genetics of photosynthetic trait variation in maize
- Quantitative genetics of shy-bold behaviour and plastic response to novel predator cues in the cherry shrimp, Neocaridina davidi
- Population genetics of the endangered narrowly endemic Island Marble butterfly (Euchloe ausonides insulanus)
- Experimental Genetics Validation of Plasmodium falciparum Gametogenesis Essential Protein 1 (GEP1) as a Transmission Blocking Target
- The relationships among alkaloid production, fungal biomass, and host genetics in the Tall Fescue-Epichloë symbiosis
- Forward genetics in C. elegans reveals genetic adaptations to polyunsaturated fatty acid deficiency
- Development of ENTV reverse genetics system and phenotypic evaluation of rescued virus reveals host-specific replication patterns in mosquitoes
- Tradeoffs in Modeling Context Dependency in Complex Trait Genetics
- Genetics of growth rate in induced pluripotent stem cells
- Quantitative Genetics of Microbiome Mediated Traits
- Predicting Morphological Disparities in Sea Urchin Skeleton Growth and Form
- StratPal: An R package for creating stratigraphic paleobiology modeling pipelines
- When paleontology meets genomics: complete mitochondrial genomes of two saber-toothed cats’ species (Felidae: Machairodontinae)
- Identifying Molecular Determinants and Therapeutic Targets in Luminal B Breast Cancer: A Systems Biology Approach
- Enhancing Secondary School Students’ Attitudes towards Biology through Guided Inquiry-Based Lab Instructions
- Optimization of the prostaglandin F2α receptor for structural biology
- LadybirdBase: a comprehensive biology, ecology and omics resource for ladybird beetles (Coccinellidae)
- Squidly: Enzyme Catalytic Residue Prediction Harnessing a Biology-Informed Contrastive Learning Framework