49 research outputs found
SBML Level 3: an extensible format for the exchange and reuse of biological models
Abstract Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edition of the Systems Biology Markup Language (SBML), a format designed for this purpose. A community of modelers and software authors developed SBML Level 3 over the past decade. Its modular form consists of a core suited to representing reaction‐based models and packages that extend the core with features suited to other model types including constraint‐based models, reaction‐diffusion models, logical network models, and rule‐based models. The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. More recently, the rise of multiscale models of whole cells and organs, and new data sources such as single‐cell measurements and live imaging, has precipitated new ways of integrating data with models. We provide our perspectives on the challenges presented by these developments and how SBML Level 3 provides the foundation needed to support this evolution
SBML Level 3: an extensible format for the exchange and reuse of biological models
Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edition of the Systems Biology Markup Language (SBML), a format designed for this purpose. A community of modelers and software authors developed SBML Level 3 over the past decade. Its modular form consists of a core suited to representing reaction-based models and packages that extend the core with features suited to other model types including constraint-based models, reaction-diffusion models, logical network models, and rule-based models. The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. More recently, the rise of multiscale models of whole cells and organs, and new data sources such as single-cell measurements and live imaging, has precipitated new ways of integrating data with models. We provide our perspectives on the challenges presented by these developments and how SBML Level 3 provides the foundation needed to support this evolution.journal articl
Effects of Polarity on Power Supply for Electrostatic Spraying Agricultural Chemicals
departmental bulletin pape
業務運用・管理システムと連携したグループウェアの活用方法 (ネットワークグループ活動報告 2003)
application/pdfdepartmental bulletin pape
Additional file 1: of Cancer patientsâ use of complementary and alternative medicine in Sweden: a cross-sectional study
Questionnaire_eng_Wode et al_190128.pdf; English translation of used Swedish questionnaire. Description of data: Questionnaire containing 19 questions. (PDF 313 kb
Brain tumors in Sweden: Data from a population-based registry 1999–2012
<div><p></p><p><b>Background.</b> The Swedish brain tumor registry has, since it was launched in 1999, provided significant amounts of data on histopathological diagnoses and on important aspects of surgical and medical management of these patients. The purpose is mainly quality control, but also as a resource for research.</p><p><b>Methods.</b> Three Swedish healthcare regions, constituting 40% of the Swedish population, have had an almost complete registration. The following parameters are registered: diagnosis according to SNOMED/WHO classification, symptoms, performance status, pre- and postoperative radiology, tumor size and localization, extent of surgery and occurrence of postoperative complications, postoperative treatment, such as radiotherapy and/or chemotherapy, other treatments, complications and toxicity, occurrence of reoperation/s, participation in clinical trials, multidisciplinary conferences and availability of a contact nurse.</p><p><b>Results.</b> Surgical radicality has been essentially constant, whereas the use of early (within 72 hours) postoperative CT and MRI has increased, especially for high-grade glioma, which is a reflection of quality of surgery. Survival of patients with high-grade glioma has increased, especially in the age group 60–69. Patients aged 18–39 years had a five-year survival of 40%. Waiting times for the pathological report has been slightly prolonged. Geographical differences do exist for some of the variables.</p><p><b>Conclusion.</b> Population-based registration is valuable for assessment of clinical management, which could have impact on patient care. As a result of short survival and/or the propensity to affect cognitive functions this patient group has considerable difficulties to make their voices heard in society. We therefore believe that a report like the present one can contribute to the spread of knowledge and increase the awareness for this patient group among caregivers and policy makers.</p></div
