Genome Nexus (1) aggregates variant information from sources that are relevant to cancer research and clinical applications, (2) allows high-performance programmatic access to the aggregated data via ...

Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing ...

Gene annotation is one of the core mechanisms through which we decipher the information that is contained in genome sequences. Gene annotation is complicated by the existence of 'transcriptional ...

Artificial intelligence systems are only as powerful as the data they are trained on. High-quality labeled datasets determine whether a model performs with precision or fails in production.

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

Interpretation of genomic variants in tumor samples still presents a challenge in research and the clinical setting. A major issue is that information for variant interpretation is fragmented across ...