to pursue new discoveries. One approach to this problem would be to fund a talented team of researchers to curate all published knowledge in a structured database. However, it is our position that the information gathering activity of individual investigators provides both an effective means of self-curation

Abstract Supporting database schema evolution repre-sents a long-standing challenge of practical and theoretical importance for modern information systems. In this paper, we describe techniques and systems for automating the critical tasks of migrating the database and rewriting the legacy

The Open Regulatory Annotation database (ORe-gAnno) is a resource for curated regulatory anno-tation. It contains information about regulatory re-gions, transcription factor binding sites, RNA bind-ing sites, regulatory variants, haplotypes, and other regulatory elements. ORegAnno differentiates it-self

Abstract—Building a comprehensive medical image database, in the spirit of the UMLS, can be beneficial for assisting diagnosis, patient education and self-care. However, a highly curated, comprehensive image database is difficult to collect as well as to annotate. We present an approach to combine

reference database of curated GREs from REGULONDB, real-life data generated independently from our work. In the lab condition, we test how feasible the automatic extraction of GREs really is and achieve F-scores, under different, not directly comparable test conditions though, for the rule and the ML

in terms of the cost of the action, and effectiveness and efficiency of reaching the goal once the action is performed. The following examples all follow this model: Self-tuning databases [1] Given a workload of queries, not known in advance, modify the physical organization of the database to efficiently

License, which permits unrestricted use, distribution, and reproduction in anymedium, provided the originalwork is properly cited. Supervisedmachine learning algorithms are used by life scientists for a variety of objectives. Expert-curated public gene and protein databases are major resources

to them on time. This previous performance is taken into account by the adaptive planner in the next iterations in order to adjust the planning provided to each learner. Second, users can complete, update and curate the information about MOOCs stored in the MOOC data database (REQ4). This ensures a higher

Abstract: Online learning initia-tives over the past decade have become increasingly comprehen-sive in their selection of courses and sophisticated in their presen-tation, culminating in the recent announcement of a number of consortium and startup activities that promise to make a university education on the internet, free of charge, a real possibility. At this pivotal moment it is appropriate to explore the potential for obtaining comprehensive bioinformatics training with currently existing free video resources. This article pre-sents such a bioinformatics curric-ulum in the form of a virtual course catalog, together with editorial commentary, and an assessment of strengths, weaknesses, and likely future directions for open online learning in this field. Online Learning Comes of Age Online academic ‘‘courseware’ ’ at the university level has now been available to the public for a decade, the earliest concerted effort having originated in 2002 with the Massachusetts Institute of Technology (MIT) and their OpenCour-seWare initiative

: ''they have to do with the self and with those limited areas of social life of which he [sic] is directly and personally aware'' (Mills 1961, 8). In contrast, issues are recognized as collective phenomena: many individuals are swept along in changes that could not be planned