Artificial intelligence (AI) models based on deep learning now represent the state of the art
for making functional predictions in genomics research. However, the underlying basis on …

A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene
pairs for synthetic genetic interactions, generating quantitative genetic interaction profiles …

GeneMANIA ( http://www.genemania.org ) is a flexible, user-friendly web interface for
generating hypotheses about gene function, analyzing gene lists and prioritizing genes for …

Background: Most successful computational approaches for protein function prediction
integrate multiple genomics and proteomics data sources to make inferences about the function …

Understanding the consequences of regulatory variation in the human genome remains a
major challenge, with important implications for understanding gene regulation and …

Droplet single-cell RNA-sequencing (dscRNA-seq) has enabled rapid, massively parallel
profiling of transcriptomes. However, assessing differential expression across multiple …

Type 1 interferon (IFN) is a key mediator of organismal responses to pathogens, eliciting
prototypical "interferon signature genes" that encode antiviral and inflammatory mediators. For a …

Genome-wide association studies have identified thousands of loci for common diseases,
but, for the majority of these, the mechanisms underlying disease susceptibility remain …

There is a need for new therapeutic targets with which to prevent Alzheimer’s disease (AD),
a major contributor to aging-related cognitive decline. Here we report the construction and …

Understanding the functional consequences of genetic variation, and how it affects complex
human disease and quantitative traits, remains a critical challenge for biomedicine. We …