Cameron J. Grisdale

CIViC-Fact: a proof-of-concept framework for AI-assisted verification of cancer variant interpretations

CIViC-Fact evaluates AI models for verifying cancer variant interpretations using full-text evidence, showing abstracts are insufficient for accurate validation.

Long-read sequencing of an advanced cancer cohort resolves rearrangements, unravels haplotypes, and reveals methylation landscapes

This paper presents a long-read sequencing dataset of cancer samples, showing its ability to resolve structural variants, haplotypes, and methylation patterns in precision medicine.

A Platform for Oncogenomic Reporting and Interpretation

PORI is an open-source platform for interpreting somatic variants in cancer, demonstrating that 88.2% of TCGA tumors have at least one potentially targetable alteration.

Evolution of the open-access CIViC knowledgebase is driven by the needsof the cancer variant interpretation community

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.

The CIViC knowledge model and standard operating procedures for curation and clinical interpretation of variants in cancer

The paper describes the CIViC knowledge model and curation procedures for systematically organizing and interpreting cancer-related genetic variants.