Ian M. Traniello

RESCUE recovers unattributed spatial expression patterns in ST data, improving analysis accuracy by addressing missing biological signals.

The paper shows that in queenless bumble bee colonies, workers show increased behavioral variation and take on influential roles, leading to a shift from centralized to decentralized social networks.

This study identifies genetic and molecular mechanisms underlying sociability in honey bees by linking SNPs, brain gene expression, and trophallaxis behavior.

pipemake creates modular Snakemake workflows for reproducible biological data analysis, reducing hands-on time and enabling flexible pipeline adaptation.

SpaceExpress detects phenotype-associated spatial gene expression differences using a neural network and spline regression across multiple spatial transcriptomics datasets.

The paper shows that developmental transcriptomes predict adult social behaviors in sweat bees, linking environmental temperature to social structure through transcriptomic differences.

The paper uses single-cell transcriptomics to show how genetic variants influence gene regulatory networks in honeybee brains, affecting aggression-related behaviors through specific cell populations and pathways.

The paper introduces SimiC, a method for inferring gene regulatory networks per cell phenotype and comparing them across conditions, revealing regulatory dynamics missed by single GRN approaches.