BioKB
Entity Search
Examples: MOG
Advanced Entity Search
Publication search
Fact Search
You can find facts by the identifiers they were annotated with, e.g., P01375.Entity Search
First, start with a simple search on the home page. You will be redirected to the entity view.
For more advanced searches, try the advanced search form. You will also be redirected to the entity view, but this time the results will be filtered with your search choices.
Entity View
The search form will redirect you to the Entity View where you can start drilling down into the results of your search.
Entity view consist of 3 sections: Co-occurrences, Relationships and Visualization.
Co-occurrences
This section shows entities appearing together with the searched entity.
Relationships
This section shows relationships from extracted sentence events in which the searched entity appears. Contrary to co-occurrences, relationships have directionality, either incoming or outgoing, and a relationship type.
Visualization
The graph shows the combined network of incoming and outgoing relationships. Please note that at the moment, it only considers the relationships appearing in the first page of each table.
BioKB also allows searching for specific publications by title, DOI, PMC, or PUBMED ID.
The publication view will show the events extracted by BioKB pipeline, highlighting the entities tagged by the reflect engine. An event is a relationship between two bioentities.
Our knowledge base can also be queried via our SPARQL endpoint for complex and automated querying.
BioKC is the curation tool for BioKB, which benefits from the large knowledge base of text mined publications already available on this site. To access BioKC's functionality, simply register for and log into a BioKB user account.
A fact is similar to SBML model. It contains Species, Compartments and Reactions. Each fact belongs to a single group of facts, in which users can have different roles.
We call the process of building the fact, curation. Only the users with the role curator can curate the model.
We can collect sentences found in BioKB and assign them to different parts of the fact model. We call this process Annotation. It is also possible to add custom sentences. Only the users with the role annotator can annotate the model.
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- 2023/11/15 Changed text-mining engine to INDRA.
- 2023/3/18 Added support for fact versioning.
- 2022/12/12 Added publication of facts and fact search.
- 2021/02/08 Added publication search to browse BioKB parased articles.
- 2020/10/03 BioKC pre-print is now available at BioRxiv.
- 2020/09/04 Check BioKC demos at biokc.pages.uni.lu.
- 2020/08/01 BioKC now supports identifiers.org.