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In genetics, a deletion (also called gene deletion, deficiency, or deletion mutation) (sign: Δ) is a mutation (a genetic aberration) in which a part of a chromosome or a sequence of DNA is left out during DNA replication.
An example of a lethal gene deletion in a sample metabolic network with fluxes shown by the weight of the reaction lines as calculated by FBA. Here there is no flux through the objective function, simulating that the pathway is no longer functional. [1]
In genetics and especially genetic engineering, deletion mapping is a technique used to find out the mutation sites within a gene. The principle of deletion mapping involves crossing a strain which has a point mutation in a gene, with multiple strains who each carry a deletion in a different region of the same gene.
Gene knockout by mutation is commonly carried out in bacteria. An early instance of the use of this technique in Escherichia coli was published in 1989 by Hamilton, et al. [2] In this experiment, two sequential recombinations were used to delete the gene.
The classical example of such a loss of protecting genes is hereditary retinoblastoma, in which one parent's contribution of the tumor suppressor Rb1 is flawed. Although most cells will have a functional second copy, chance loss of heterozygosity events in individual cells almost invariably lead to the development of this retinal cancer in the ...
This figure depicts how Floxing is used in scientific research for spatial and temporal control of gene expression. In genetic engineering, floxing refers to the insertion of a DNA sequence (which is then said to be floxed) between two LoxP sequences, creating an artificial gene cassette which can then be conditionally deleted (knocked out), translocated, or inverted in a process called Cre ...
A Moran process or Moran model is a simple stochastic process used in biology to describe finite populations. The process is named after Patrick Moran , who first proposed the model in 1958. [ 1 ] It can be used to model variety-increasing processes such as mutation as well as variety-reducing effects such as genetic drift and natural selection .
Phylogenetic trees generated by computational phylogenetics can be either rooted or unrooted depending on the input data and the algorithm used. A rooted tree is a directed graph that explicitly identifies a most recent common ancestor (MRCA), [citation needed] usually an inputed sequence that is not represented in the input.