Aysam Guerler

The paper demonstrates a framework using BRC-Analytics and agentic AI to standardize RNA-seq analysis of fungal pathogens, achieving reproducible results across studies with differing annotations.

The paper introduces BRC-Analytics, a browser-based platform for pathogen genomics, demonstrating its use in analyzing measles virus evolutionary dynamics and revealing asymmetric frame evolution under selective pressures.

The paper presents a pipeline for predicting genome-wide protein-protein interactions and generating structural models, validated on human and yeast genomes and applied to SARS-CoV2 proteins.

The paper develops a pipeline integrating multi-chain threading with high-throughput experiments to improve PPI detection and structural modeling in E. coli, achieving higher confidence PPIs and accurate complex structures.

This paper develops a probabilistic method to model functional relationships at the splice isoform level by integrating heterogeneous genomic data in mice, revealing isoform-specific interactions and functional diversity.