@ybrandvain.bsky.social

Craig Smail wrote up a really nice Preview of @nikhilmilind.dev's paper where we try to explain why large effect variants tend to affect traits in the same direction on average, which we think about in terms of the non-linearity of gene dosage response curves. www.cell.com/cell-genomic...

Gene dosage differences and non-linear impacts on complex traits

Large differences in gene dosage are usually associated with opposite phenotypic effects but show a bias toward one direction in aggregate genome wide. Milind et al. suggest that this is explained by ...

cell.com

Introducing my 1st R package. I built this to address common misunderstandings of linear models i often see in intro biostats students. this is strongly paternalistic and aims to improve students' understanding of intro stats comments welcome yanivjb.github.io/honestlm/ #Rstats #ggplot2 #biostats

Guardrails for Teaching Linear Models

Provides small, opinionated wrappers around familiar linear model workflows. The package keeps base R and ggplot2 interfaces recognizable while adding guardrails around common interpretation traps, in...

yanivjb.github.io

Congrats @jeffgroh.bsky.social et al. Some avocado trees open female-phase flowers in the morning & then male in afternoon. Others show complementary pattern (m->f), to synchronize pollination of two types. Jeff show this to be a >45Mya polymorphism at a transcription factor across 100s of species.

bioRxiv Evolutionary Biology@biorxiv-evobio.bsky.social · 8mo ago

Balanced polymorphism in a floral transcription factor underlies an ancient rhythm of daily sex alternation in avocado https://www.biorxiv.org/content/10.64898/2025.12.22.695989v1

Available now in @asn-amnat.bsky.social ! Taking on some big-scale natural history: processed >40k @inaturalist.bsky.social images of Monarda fistulosa using computer vision to query for flower presence and phenotype flower color: doi.org/10.1086/739413

High-throughput iNaturalist image analysis reveals flower color divergence in Monarda fistulosa | The American Naturalist: Vol 0, No ja

doi.org

Patrick McKenzie@patrickmckenzie.bsky.social · last yr.

New preprint out today! A really fun collaboration with @shchurch.bsky.social and Robin Hopkins in which we study flower color variation in Monarda fistulosa using iNaturalist data. We process >40,000 images and use them to phenotype flower color in >16,000 observations: doi.org/10.1101/2025...

Figure 1: Steps with representative photographs of the flower color phenotyping pipeline. A) We exported all research-grade iNaturalist observations of Monarda fistulosa from GBIF. B) We used GPT-4o to classify each image as to whether it contained a flower. C) We trained a Roboflow semantic segmentation model on a subset of images and applied the trained model to extract “flower” pixels from each image in the dataset. D) We calculated the geometric median of each set of extracted pixels to represent the flower color phenotype from each image, and we paired this phenotype with the observation’s iNaturalist metadata for spatial analysis.