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| | |
| Content | |
|---|---|
| Description | Knowledge Network Miner |
| Data types captured | Knowledge Discovery and Visualisation |
| Contact | |
| Research center | Rothamsted Research |
| Laboratory | Bioinformatics |
| Primary citation | doi:10.1111/pbi.13583 |
| Release date | October 2013 |
| Access | |
| Website | knetminer |
| Tools | |
| Web | KnetMiner Gene View KnetMiner Evidence View KnetMiner Network View Ondex-knet-builder data integration platform |
| Miscellaneous | |
| License | MIT |
| Versioning | Yes |
| Data release frequency | Quarterly |
| Version | 4.0 (June 2020) |
| Curation policy | Manual Curation |
Knowledge Network Miner [1] (KnetMiner) [2] [3] is a system of tools used to integrate, search, and visualize biological knowledge graphs (KGs). It is used to search for information across large biological databases and literature to find links between genes, traits, diseases, and other relevant information.
KnetMiner KGs are built using the data integration platform, KnetBuilder, with output available in OXL, Neo4j, and RDF graph formats. It follows FAIR data [4] principles and supports a variety of biological data formats. The KnetMiner API provides web endpoints that enable users to search for specific genes and keywords, returning results in the form of a knowledge graph.
Originally developed through a collaboration of researchers at Rothamsted Research, KnetMiner has undergone further development and has initiated a spin-out process.
KnetMiner hosts a range of different species, including a knowledge graph dedicated to SARS-CoV-2 [5] [6] in response to the 2020 global pandemic, on Rothamsted Research HPC machines.
Species included in KnetMiner's knowledge graphs:
KnetMiner has been involved in several studies, including studies for wheat, [7] [8] [9] willow, [9] and SARS-CoV-2. [5] It is also being used for exploring pathogen-host interactions in collaboration with PHI-base, soybean loopers, and other species.
KnetMiner uses REST API access to obtain either JSON outputs of each view type or network views for certain searches.
KnetMiner is funded by the Biotechnology and Biological Sciences Research Council, a UK research council. [2]
Biostatistics is a branch of statistics that applies statistical methods to a wide range of topics in biology. It encompasses the design of biological experiments, the collection and analysis of data from those experiments and the interpretation of the results.
Wheat is a grass widely cultivated for its seed, a cereal grain that is a staple food around the world. The many species of wheat together make up the genus Triticum ; the most widely grown is common wheat. The archaeological record suggests that wheat was first cultivated in the regions of the Fertile Crescent around 9600 BC. Botanically, the wheat kernel is a caryopsis, a type of fruit.
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Rothamsted Research, previously known as the Rothamsted Experimental Station and then the Institute of Arable Crops Research, is one of the oldest agricultural research institutions in the world, having been founded in 1843. It is located at Harpenden in the English county of Hertfordshire and is a registered charity under English law.
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Marco A. Marra is a Distinguished Scientist and Director of Canada's Michael Smith Genome Sciences Centre at the BC Cancer Research Centre and Professor of Medical Genetics at the University of British Columbia (UBC). He also serves as UBC Canada Research Chair in Genome Science for the Canadian Institutes of Health Research and is an inductee in the Canadian Medical Hall of Fame. Marra has been instrumental in bringing genome science to Canada by demonstrating the pivotal role that genomics can play in human health and disease research.
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The Pathogen-Host Interactions database (PHI-base) is a biological database that contains manually curated information on genes experimentally proven to affect the outcome of pathogen-host interactions. The database has been maintained by researchers at Rothamsted Research and external collaborators since 2005. PHI-base has been part of the UK node of ELIXIR, the European life-science infrastructure for biological information, since 2016.
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A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. In general, networks or graphs are used to capture relationships between entities or objects. A typical graphing representation consists of a set of nodes connected by edges.
EmBiology is a web-based Software as a service tool from Elsevier in which researchers can view biological relationships between entities, such as genes, proteins, and cells.
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In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph-structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also encoding the free-form semantics or relationships underlying these entities.
Biocuration is the field of life sciences dedicated to organizing biomedical data, information and knowledge into structured formats, such as spreadsheets, tables and knowledge graphs. The biocuration of biomedical knowledge is made possible by the cooperative work of biocurators, software developers and bioinformaticians and is at the base of the work of biological databases.
Matthias Grossglauser is a Swiss communication engineer. He is a professor of computer science at EPFL and co-director of the Information and Network Dynamics Laboratory (INDY) at EPFL's School of Computer and Communication Sciences School of Basic Sciences.
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