easyDAS: Automatic creation of DAS servers

Background: The Distributed Annotation System (DAS) has proven to be a successful way to publish and share biological data. Although there are more than 750 active registered servers from around 50 organizations, setting up a DAS server comprises a fair amount of work, making it difficult for many research groups to share their biological annotations. Given the clear advantage that the generalized sharing of relevant biological data is for the research community it would be desirable to facilitate the sharing process. Results: Here we present easyDAS, a web-based system enabling anyone to publish biological annotations with just some clicks. The system, available at http://www.ebi.ac.uk/panda-srv/easydas is capable of reading different standard data file formats, process the data and create a new publicly available DAS source in a completely automated way. The created sources are hosted on the EBI systems and can take advantage of its high storage capacity and network connection, free...

• Type: Journal
• Year: 2011
• Where: BMCBI
• Authors: Bernat Gel, Andrew M. Jenkinson, Rafael C. Jimenez, Xavier Messeguer Peypoch, Henning Hermjakob
• Keywords: Artificial Intelligence, Biological Annotations, Biological Data, BMCBI 2011, Relevant Biological Data