Ian T Foster

GenSLMs use large language models to analyze SARS-CoV-2 genomes, enabling rapid identification of variants of concern and providing insights into evolutionary dynamics.

The paper describes a new system for serial crystallography data collection using a 3D printed mesh-holder and high-performance computing pipeline, applied to two beta-lactamases.

The paper describes the development of a metadata federation system for NIH Common Fund data to improve discoverability without data movement.

The paper determines the crystal structures of SARS-CoV-2 Nsp10/16 complexes before and after methylation, revealing the mechanism of RNA capping and its role in viral evasion of host defenses.

The paper develops a workflow to identify transcription factor binding sites across 27 human tissues using DNase-seq data, resulting in a comprehensive footprint atlas with high-quality predictions.

The paper presents tools for ensuring FAIRness in big biomedical data analysis through a case study on creating a transcription factor binding site atlas from ENCODE data.

BDQC identifies data outliers and anomalies in large-scale genomic pipelines without domain knowledge, improving data quality and enabling new insights.