Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

Ontologies have long been employed in the life sciences to formally represent and reason
over domain knowledge and they are employed in almost every major biological database …

Abstract The Eukaryotic Pathogen, Vector and Host Informatics Resource (VEuPathDB,
https://veupathdb. org) represents the 2019 merger of VectorBase with the EuPathDB …

We have created a compendium of single cell transcriptomic data from the model organism
Mus musculus comprising more than 100,000 cells from 20 organs and tissues. These data …

The human genome encodes approximately 20,000 proteins, many still uncharacterised. It
has become clear that scientific research tends to focus on well-studied proteins, leading to …

With the rapid adoption of high-throughput omic approaches to analyze biological samples
such as genomics, transcriptomics, proteomics, and metabolomics, each analysis can …

Abstract The Human Disease Ontology (DO)(http://www. disease-ontology. org), database
has undergone significant expansion in the past three years. The DO disease classification …

Background Scientists have long been driven by the desire to describe, organize, classify,
and compare objects using taxonomies and/or ontologies. In contrast to biology, geology …

Biological ontologies are used to organize, curate and interpret the vast quantities of data
arising from biological experiments. While this works well when using a single ontology …

In recent decades, there has been a major shift in the way researchers process and
understand scientific data. Digital access to data has revolutionized ways of doing science in …