Dannon Baker

This paper demonstrates agentic science on public infrastructure to ensure reproducibility by making all agent actions and workflows publicly accessible.

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 describes AnVIL, a cloud-based platform that enables genomic data analysis without data transfer, improving security, scalability, and collaboration.

The paper presents a global, community-maintained platform for analyzing SARS-CoV-2 genomic data, demonstrating its utility in variant detection and reanalysis of existing datasets.

The paper highlights the importance of open data and analytics in responding to public health emergencies, using COVID-19 genomic data to demonstrate the effectiveness of community-driven software tools and infrastructure.

The paper presents a community-driven framework for interactive data analytics training in life sciences, enabling researchers to learn through web-based computation without software installation.