Integrating comprehensive species data into biodiversity assessments
Important biological information, including so-called ‘cryptic’ diversity and...
We specialize in Information Extraction from biomedically relevant textual sources, such as the scientific literature, clinical records, or social media. We focus in particular on the extraction of domain-specific entities (such as genes, drugs, diseases), and their semantic relationships (e.g. gene-disease associations). Our tools are often evaluated through participation in community-run evaluation challenges (e.g. BioCreAtIvE). We also provide an environment for Assisted Curation (ODIN), which is used in the curation pipeline of the RegulonDB database, in an NIH-funded project.