Our Center's effectiveness will be measured by the ability of the biomedical community to access ontologies, ontology metadata, and ontology-based annotations of biomedical data sets;to develop. new ontology-aware tools and applications;and to incorporate methods that ensure conformance with knowledge-representation standards in the creation of new content. The achievement of these goals depends on a substantial infrastructure to allow access to the Center's services and to support the Center's own research and development activities. The Stanford Center for Biomedical Informatics Research has more than 35 years of experience in the management of wide-ranging computational resources and in providing outstanding infrastructure to support advanced research and development in biomedical informatics. Over the past four years, we have developed a. flexible and scalable infrastructure to host the NCBO resources and to support our collaborators and users, including mechanisms to serve ontology content created by biomedical researchers from around the world. Most of this infrastructure is already adequate to support the projected capacity and scope of the Center. We will build on this infrastructure to provide a new generation of NCBO services and tools, addressing the key challenges of data management, and fast and reliable access to our content.
| Kamdar, Maulik R; Walk, Simon; Tudorache, Tania et al. (2018) Analyzing user interactions with biomedical ontologies: A visual perspective. Web Semant 49:16-30 |
| van der Weyden, Louise; Arends, Mark J; Campbell, Andrew D et al. (2017) Genome-wide in vivo screen identifies novel host regulators of metastatic colonization. Nature 541:233-236 |
| Kamdar, Maulik R; Musen, Mark A (2017) Mechanism-based Pharmacovigilance over the Life Sciences Linked Open Data Cloud. AMIA Annu Symp Proc 2017:1014-1023 |
| Kamdar, Maulik R; Walk, Simon; Tudorache, Tania et al. (2017) BiOnIC: A Catalog of User Interactions with Biomedical Ontologies. Semant Web ISWC 10588:130-138 |
| MartÃnez-Romero, Marcos; O'Connor, Martin J; Shankar, Ravi D et al. (2017) Fast and Accurate Metadata Authoring Using Ontology-Based Recommendations. AMIA Annu Symp Proc 2017:1272-1281 |
| MartÃnez-Romero, Marcos; Jonquet, Clement; O'Connor, Martin J et al. (2017) NCBO Ontology Recommender 2.0: an enhanced approach for biomedical ontology recommendation. J Biomed Semantics 8:21 |
| Kamdar, Maulik R; Musen, Mark A (2017) PhLeGrA: Graph Analytics in Pharmacology over the Web of Life Sciences Linked Open Data. Proc Int World Wide Web Conf 2017:321-329 |
| van der Weyden, Louise; Karp, Natasha A; Swiatkowska, Agnieszka et al. (2017) Genome wide in vivo mouse screen data from studies to assess host regulation of metastatic colonisation. Sci Data 4:170129 |
| Ochs, Christopher; Perl, Yehoshua; Geller, James et al. (2017) An empirical analysis of ontology reuse in BioPortal. J Biomed Inform 71:165-177 |
| Mortensen, Jonathan M; Telis, Natalie; Hughey, Jacob J et al. (2016) Is the crowd better as an assistant or a replacement in ontology engineering? An exploration through the lens of the Gene Ontology. J Biomed Inform 60:199-209 |
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