Jake Lever

The paper introduces CIViC MCP, a system that uses large language models to interface with the CIViC knowledgebase, enabling natural language queries for cancer variant interpretations.

The paper describes the evolution of the CIViC knowledgebase to meet the needs of the cancer variant interpretation community by expanding its functionality and data types.

CoronaCentral organizes and analyzes SARS-CoV-2 literature using machine learning to categorize and track research trends, media attention, and article types.

The paper describes the development of CIViCmine, a text-mining tool that extracts clinically relevant cancer biomarkers from literature to aid curation into the CIViC database.

CancerMine compiles text-mined cancer gene annotations and provides a resource for gene-centric cancer type clustering validated against TCGA data.

LIONS detects and quantifies TE-initiated transcripts from RNA-seq data by addressing computational limitations in TE transcription analysis.