Track topics on Twitter Track topics that are important to you
The speed and accuracy of new scientific discoveries - be it by humans or artificial intelligence - depends on the quality of the underlying data and on the technology to connect, search and share the data efficiently. In recent years, we have seen the rise of graph databases and semi-formal data models such as knowledge graphs to facilitate software approaches to scientific discovery. These approaches extend work based on formalised models, such as the Semantic Web. In this paper, we present our developments to connect, search and share data about genome-scale knowledge networks (GSKN). We have developed a simple application ontology based on OWL/RDF with mappings to standard schemas. We are employing the ontology to power data access services like resolvable URIs, SPARQL endpoints, JSON-LD web APIs and Neo4j-based knowledge graphs. We demonstrate how the proposed ontology and graph databases considerably improve search and access to interoperable and reusable biological knowledge (i.e. the FAIRness data principles).
This article was published in the following journal.
Name: Journal of integrative bioinformatics
Biological networks are a very convenient modeling and visualization tool to discover knowledge from modern high-throughput genomics and post-genomics data sets. Indeed, biological entities are not is...
The important topic of multistability of continuous- and discrete-time neural network (NN) models has been investigated rather extensively. Concerning the design of associative memories, multistabilit...
We review results concerning dynamics in a class of hybrid ordinary differential equations which incorporates logical control to yield piecewise linear equations. These equations relate qualitative fe...
Molecular interactions have widely been modelled as networks. The local wiring patterns around molecules in molecular networks are linked with their biological functions. However, networks model only ...
The hypothesis that many living systems should exhibit near-critical behavior is well motivated theoretically, and an increasing number of cases have been demonstrated empirically. However, a systemat...
There are significant and persistent disparities in access to kidney transplantation and as a result most patients with end stage renal disease receive hemodialysis (HD). HD is unique as i...
The purpose of the study is to demonstrate that the SynergEyes SA Hybrid Contact Lens clinical performance is substantially equivalent to that of the SynergEyes A Hybrid Lens when studied:...
The purpose of this study to evaluate and examine, weather use of Hybrid Argon Plasma Coagulation (APC) as adjunct to endoscopic mucosal resection (EMR) will reduce the risk of residual or...
The integrity of interoceptive networks is linked to resilience against depressive symptoms, whereas degradation of these networks is linked to apathy and deficits in emotion processing. T...
Transvaginal hybrid procedures especially the transvaginal hybrid cholecystectomy are of interest as an available NOTES-Procedure for the clinical routine. Few authors have demonstrated th...
Screening techniques first developed in yeast to identify genes encoding interacting proteins. Variations are used to evaluate interplay between proteins and other molecules. Two-hybrid techniques refer to analysis for protein-protein interactions, one-hybrid for DNA-protein interactions, three-hybrid interactions for RNA-protein interactions or ligand-based interactions. Reverse n-hybrid techniques refer to analysis for mutations or other small molecules that dissociate known interactions.
Devices for simulating the activities of the liver. They often consist of a hybrid between both biological and artificial materials.
A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerized neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming.
Proteins produced from GENES that have mutated by the fusing of protein coding regions of more than one gene. Such hybrid proteins are responsible for some instances of ANTIBIOTIC RESISTANCE and defective biological processes such as NEOPLASMS.
Complex pharmaceutical substances, preparations, or agents of organic origin, usually obtained by biological methods or assay. They are used especially in diagnosis and treatment of disease (as vaccines or pollen extracts). Biological products are differentiated from BIOLOGICAL FACTORS in that the latter are compounds with biological or physiological activity made by living organisms. (From Webster's 3d ed)
Biological therapy involves the use of living organisms, substances derived from living organisms, or laboratory-produced versions of such substances to treat disease. Some biological therapies for cancer use vaccines or bacteria to stimulate the body&rs...
Bioinformatics is the application of computer software and hardware to the management of biological data to create useful information. Computers are used to gather, store, analyze and integrate biological and genetic information which can then be applied...