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The development of standards for encoding mathematical models is an important component of model building and model sharing among scientists interested in understanding multi-scale physiological processes. CellML provides such a standard, particularly for models based on biophysical mechanisms, and a substantial number of models are now available in the CellML Model Repository. However, there is an urgent need to extend the current CellML metadata standard to provide biological and biophysical annotation of the models in order to facilitate model sharing, automated model reduction and connection to biological databases. This paper gives a broad overview of a number of new developments on CellML metadata and provides links to further methodological details available from the CellML website.
Pubmed ID: 19380315 RIS Download
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Community standard for pathway data sharing. Standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Supports data exchange between pathway data groups and thus reduces complexity of interchange between data formats by providing accepted standard format for pathway data. Open and collaborative effort by community of researchers, software developers, and institutions. BioPAX is defined in OWL DL and is represented in RDF/XML format.Uses W3C standard Web Ontology Language, OWL.
View all literature mentionsA database based on the SABIO relational database that contains information about biochemical reactions, their kinetic equations with their parameters, and the experimental conditions under which these parameters were measured. It aims to support modelers in the setting-up of models of biochemical networks, but it is also useful for experimentalists or researchers with interest in biochemical reactions and their kinetics. SABIO-RK contains and merges information about reactions such as reactants and modifiers, organism, tissue and cellular location, as well as the kinetic properties of the reactions. The type of the kinetic mechanism, modes of inhibition or activation, and corresponding rate equations are presented together with their parameters and measured values, specifying the experimental conditions under which these were determined. Links to other databases are provided for users to gather further information and to refer to the original publication. Information about reactions and their kinetic data can be exported to an SBML file. The reaction kinetics data are obtained by manual extraction from literature sources and curated.
View all literature mentionsComputable knowledge regarding functions of genes and gene products. GO resources include biomedical ontologies that cover molecular domains of all life forms as well as extensive compilations of gene product annotations to these ontologies that provide largely species-neutral, comprehensive statements about what gene products do. Used to standardize representation of gene and gene product attributes across species and databases.
View all literature mentionsThe VPH NoE is a project which aims to help support and progress European research in biomedical modeling and simulation of the human body. This project will improve our ability to predict, diagnose and treat disease, and have a dramatic impact on the future of healthcare, the pharmaceutical and medical device industries. The VPH Network of Excellence (VPH NoE) is designed to foster, harmonize and integrate pan-European research in the field of i) patient-specific computer models for personalised and predictive healthcare and ii) ICT-based tools for modeling and simulation of human physiology and disease-related processes. The main objectives of the VPH Network of Excellence are to support the: :- Coordination of research portfolios of VPH NoE partners through initiation of Exemplar integrative research projects that encourage inter-institution and interdisciplinary VPH research; :- Integration of research infrastructures of VPH NoE partners through development of the VPH ToolKit: a shared and mutually accessible source of research equipment, managerial and research infrastructures, facilities and services; :- Development of a portfolio of interdisciplinary training activities including a formal consultation on, and assessment of, VPH careers; :- Establishment of a core set of VPH-related dissemination and networking activities which will engage everyone from partners within the VPH NoE/other VPH projects, to national policy makers, to the public at large; :- Creation of Industrial, Clinical and Scientific Advisory Boards that will jointly guide the direction of the VPH NoE and, through consultation, explore the practical and legal options for real and durable integration within the VPH research community; :- Implementation of key working groups that will pursue specific issues relating to VPH, notably integrating VPH research worldwide through international physiome initiatives. Finally, by involving clinical and industrial stakeholders, VPH NoE also plans to lay a reliable ground to support sustainable interactions and collaboration between research and healthcare communities. Virtual Physiological Human lists, as its main target outcome, patient-specific computer models for personalized and predictive healthcare and ICT-based tools for modeling and simulation of human physiology and disease-related processes. Collaborative projects (IPs and STREPs) within the call will meet specific objectives, addressing: patient-specific computational modeling and simulation of organs or systems data integration and new knowledge extraction and clinical applications and demonstration of tangible benefits of patient-specific computational models. The networking action outlined within the call - the VPH NoE - should serve to connect these efforts, and lay the foundations for the methodological and technical framework to support such research. It should also build on previous EC investment in this field, including the outcomes of VPH type' projects funded within the EU Sixth Framework Programme, and through other National and International initiatives. The Virtual Physiological Human Network of Excellence (VPH NoE) has been designed with "service to the community" of VPH researchers as its primary purpose. Its aims range from the development of a VPH ToolKit and associated infrastructural resources, through integration of models and data across the various relevant levels of physiological structure and functional organization, to VPH community building and support. The VPH NoE aims to foster the development of new and sustainable educational, training and career structures for those involved in VPH related science, technology and medicine. The VPH NoE constitutes a leading group of universities, institutes and organizations who will, by integrating their experience and ongoing activities in VPH research, promote the creation of an environment that actively supports and nurtures interdisciplinary research, education, training and strategic development. The VPH NoE will lead the coordination of diverse activities within the VPH Initiative to help deliver: new environments for predictive, patient-specific, evidence-based, more effective and safer healthcare; improved semantic interoperability of biomedical information and contribution to a common health information infrastructure; facile, on-demand access to distributed European computational infrastructure to support clinical decision making; and increased European multidisciplinary research excellence in biomedical informatics and molecular medicine by fostering closer cooperation between ICT, medical device, medical imaging, pharmaceutical and biotech companies. The VPH NoE will connect the diverse VPH Initiative projects, including not only those funded as part of the VPH initiative but also those of previous EC frameworks and national funding schemes, together with industry, healthcare providers, and international organizations, thereby ensuring that these impacts will be realized. VPH NoE work packages and project structure The VPH NoE activities are divided between five main work packages (follow the links at the top of the page for more information on each). In brief, the focus of each work package is as follows: -Work package 1: Network Management -Work package 2: VPH NoE Exemplar Projects -Work package 3: VPH NoE ToolKit development -Work package 4: VPH NoE Training and Career Development -Work package 5: Spreading Excellence within the VPH NoE and VPH-I In view of its role as the networking action for the VPH Initiative, all VPH NoE activities have been designed to serve and interconnect not only the VPH NoE core members, but also the projects funded within the VPH call (VPH-I) and the wider research community. Key activities which the VPH NoE will pursue, in support of the development of a research environment which facilitates integrative, interdisciplinary and multilevel VPH research, are: -Support for integrative research -Training and dissemination activities -Networking activities Sponsors: VPH NoE is supported by The Directorate-General Research (DG RTD) and The Directorate-General Information Society and Media (DG INFSO).
View all literature mentionsNon-profit academic organization for research and services in bioinformatics. Provides freely available data from life science experiments, performs basic research in computational biology, and offers user training programme, manages databases of biological data including nucleic acid, protein sequences, and macromolecular structures. Part of EMBL.
View all literature mentionsBioCarta Pathways allows users to observe how genes interact in dynamic graphical models. Online maps available within this resource depict molecular relationships from areas of active research. In an open source approach, this community-fed forum constantly integrates emerging proteomic information from the scientific community. It also catalogs and summarizes important resources providing information for over 120,000 genes from multiple species. Find both classical pathways as well as current suggestions for new pathways.
View all literature mentionsRepository of biological models created using CellML, a free, open-source, eXtensible markup language based standard for defining mathematical models of cellular function. Models may be browsed by category, which include: Calcium Dynamics, Cardiovascular Circulation, Cell Cycle, Cell Migration, Circadian Rhythms, Electrophysiology, Endocrine, Excitation-Contraction Coupling, Gene Regulation, Hepatology, Immunology, Ion Transport, Mechanical Constitutive Laws, Metabolism, Myofilament Mechanics, Neurobiology, pH Regulation, PKPD, Signal Transduction, Synthetic Biology. The community can contribute their models to this resource.
View all literature mentionsAn open organization engaged in the development of interoperable online metadata standards that support a broad range of purposes and business models. DCMI''s activities include work on architecture and modeling, discussions and collaborative work in DCMI Communities and DCMI Task Groups, annual conferences and workshops, standards liaison, and educational efforts to promote widespread acceptance of metadata standards and practices. The Dublin Core Metadata Initiative provides simple standards to facilitate the finding, sharing and management of information. DCMI does this by: * Developing and maintaining international standards for describing resources * Supporting a worldwide community of users and developers * Promoting widespread use of Dublin Core solutions The major characteristics of DCMI as an organization are (the three Is): * Independent: DCMI is not controlled by specific commercial or other interests and is not biased towards specific domains nor does it mandate specific technical solutions * International: DCMI encourages participation from organizations anywhere in the world, respecting linguistic and cultural differences * Influenceable: DCMI is an open organization aiming at building consensus among the participating organizations; there are no prerequisites for participation The development and maintenance of a core set of metadata terms (the DCMI Metadata Terms) continues to be one of the main activities of DCMI. In addition, DCMI is developing guidelines and procedures to help implementers define and describe their usage of Dublin Core metadata in the form of Application Profiles. This work is done in a work structure that provides discussion and cooperation platforms for specific communities (e.g. education, government information, corporate knowledge management) or specific interests (e.g. technical architecture, accessibility). Anyone wishing to participate may do so by simply joining the appropriate mailing list for the activity of interest. The DC-General mailing list is the general forum for community participation and announcements.
View all literature mentionsFounded in 1901, NIST (National Institute of Standards and Technology) is a non-regulatory federal agency within the U.S. Department of Commerce. NIST''s mission is to promote U.S. innovation and industrial competitiveness by advancing measurement science, standards, and technology in ways that enhance economic security and improve our quality of life. NIST carries out its mission through the following programs: * the NIST Laboratories, conducting world-class research, often in close collaboration with industry, that advances the nation''s technology infrastructure and helps U.S. companies continually improve products and services; * the Hollings Manufacturing Extension Partnership, a nationwide network of local centers offering technical and business assistance to smaller manufacturers to help them create and retain jobs, increase profits, and save time and money; and * the Baldrige Performance Excellence Program, which promotes performance excellence among U.S. manufacturers, service companies, educational institutions, health care providers, and nonprofit organizations; conducts outreach programs; and manages the annual Malcolm Baldrige National Quality Award which recognizes performance excellence and quality achievement; * From 2007 to 2011, NIST provided cost-shared grants through the Technology Innovation Program, and between 1990 and 2007, it managed the Advanced Technology Program. NIST measurements support the smallest of technologiesnanoscale devices so tiny that tens of thousands can fit on the end of a single human hairto the largest and most complex of human-made creations, from earthquake-resistant skyscrapers to wide-body jetliners to global communication networks. We invite you to explore our web site to learn about our current projects, to find out how you can work with us, or to make use of our products and services. From the smart electric power grid and electronic health records to atomic clocks, advanced nanomaterials, and computer chips, innumerable products and services rely in some way on technology, measurement, and standards provided by the National Institute of Standards and Technology. NIST funds industrial and academic research in a variety of ways. The Small Business Innovation Research Program funds R&D proposals from small businesses. We also offer other grants to encourage work in specific fields: precision measurement, fire research, and materials science. Grants/awards supporting research at industry, academic, and other institutions are available on a competitive basis through several different Institute offices. For general information on NIST grants programs, please contact Christopher Hunton at christopher.hunton@nist.gov and (301) 975-5718.
View all literature mentionsPublic global Protein Data Bank archive of macromolecular structural data overseen by organizations that act as deposition, data processing and distribution centers for PDB data. Members are: RCSB PDB (USA), PDBe (Europe) and PDBj (Japan), and BMRB (USA). This site provides information about services provided by individual member organizations and about projects undertaken by wwPDB. Data available via websites of its member organizations.
View all literature mentionsCommunity standard for pathway data sharing. Standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Supports data exchange between pathway data groups and thus reduces complexity of interchange between data formats by providing accepted standard format for pathway data. Open and collaborative effort by community of researchers, software developers, and institutions. BioPAX is defined in OWL DL and is represented in RDF/XML format.Uses W3C standard Web Ontology Language, OWL.
View all literature mentionsThe SciCrunch Infrastructure was developed as a cooperative data platform to be used by diverse communities in making data more FAIR.
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