Biological data are most times published and then become public ones. They, then, do not need to be isolated or encrypted. But, in some cases, these data stemed from patients or are analyzed with, for instance, pharmaceutical or agronomics goals. Also in simple ways , these data, before to become public, have to be kept confidential while researchers haven't been able to publish their work or to register them. So they are a lot of cases where the integrity and the confidentiality of biological data have to be protected against unauthorized accesses. But, as these private data are also large datasets, they need high-throughput computing and huge data storage to processed, such as ones produced by complete genome projects. These requirements are enhanced in the context of a Grid such EGEE, where the computing and storage resources are distributed across a large-scale platform. We have developed a secured distributed service to manage biological data on grid: the EncFile encrypted files management system. We have deployed it on the production platform of the EGEE grid project. Thus we provided grid users with a user-friendly component that doesn't require any user privileges. And we have integrated into a bioinformatics grid portal associated to encrypted representative biological resources: world-famous databases and programs.