Collaborative biomedical text annotation.
Egas is a web-based platform for biomedical text mining and collaborative curation, supporting manual and automatic annotation of concepts and relations.
Easily add and/or remove concept annotations and directional relations through intuitive interactions.
Integrated project admnistration allows managing annotation guidelines, users, target concepts and relations.
Import and export documents in A1 and BioC formats, or use PubMed and PubMed Central to select relevant documents.
Developed with standard web technologies (HTML5, CSS3 and JavaScript) to provide rapid documents and annotations processing.
Automatic annotation of concepts and relations through REST web-services that implement state-of-the-art approaches.
Chrome, Firefox, Opera, Safari and Internet Explorer 9 (or later) web browsers are supported.
