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GraphQL is a data query and manipulation language for APIs that allows a client to specify what data it needs ("declarative data fetching"). A GraphQL server can fetch data from separate sources for a single client query and present the results in a unified graph . [ 2 ]
GQL is a query language specifically for property graphs. A property graph closely resembles a conceptual data model , as expressed in an entity–relationship model or in a UML class diagram (although it does not include n-ary relationships linking more than two entities).
Cypher is a declarative graph query language that allows for expressive and efficient data querying in a property graph. [1]Cypher was largely an invention of Andrés Taylor while working for Neo4j, Inc. (formerly Neo Technology) in 2011. [2]
Mutation is a genetic operator used to maintain genetic diversity of the chromosomes of a population of an evolutionary algorithm (EA), including genetic algorithms in particular. It is analogous to biological mutation .
Weak mutation testing (or weak mutation coverage) requires that only the first and second conditions are satisfied. Strong mutation testing requires that all three conditions are satisfied. Strong mutation is more powerful, since it ensures that the test suite can really catch the problems. Weak mutation is closely related to code coverage ...
Crossover in evolutionary algorithms and evolutionary computation, also called recombination, is a genetic operator used to combine the genetic information of two parents to generate new offspring.
T-box transcription factor T, also known as Brachyury protein, is encoded for in humans and other apes by the TBXT gene. [5] [6] [7] Brachyury functions as a transcription factor within the T-box family of genes. [8] Brachyury homologs have been found in all bilaterian animals that have been screened, as well as the freshwater cnidarian Hydra. [8]
Created by Ryan O'Neil with the goal to create a simple library suitable for the academic study of gene expression programming in Python, aiming for ease of use and rapid implementation. It implements standard multigenic chromosomes and the genetic operators mutation, crossover, and transposition. PyGEP is hosted at Google Code.