| Title |
Genetic mappings in artificial genomes
|
|---|---|
| Published in |
Theory in Biosciences, September 2004
|
| DOI | 10.1016/j.thbio.2004.04.002 |
| Pubmed ID | |
| Authors |
Maciej Komosinski, Szymon Ulatowski |
| Abstract |
This paper concerns processing of genomes of artificial (computer-simulated) organisms. Of special interest is the process of translation of genotypes into phenotypes, and utilizing the mapping information obtained during such translation. If there exists more than one genetic encoding in a single artificial life model, then the translation may also occur between different encodings. The obtained mapping information allows to present genes-phenes relationships visually and interactively to a person, in order to increase understanding of the genotype-tophenotype translation process and genetic encoding properties. As the mapping associates parts of the source sequence with the translated destination, it may be also used to trace genes, phenes, and their relationships during simulated evolution.A mappings composition procedure is formally described, and a simple method of visual mapping presentation is established. Finally, advanced visualizations of gene-phene relationships are demonstrated as practical examples of introduced techniques. These visualizations concern genotypes expressed in various encodings, including an encoding which exhibits polygenic and pleiotropic properties. |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 8% |
| Netherlands | 1 | 8% |
| Unknown | 11 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 46% |
| Student > Master | 2 | 15% |
| Student > Postgraduate | 2 | 15% |
| Researcher | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 69% |
| Computer Science | 2 | 15% |
| Psychology | 1 | 8% |
| Unknown | 1 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 April 2023.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Theory in Biosciences
#76
of 217 outputs
Outputs of similar age
#23,278
of 71,026 outputs
Outputs of similar age from Theory in Biosciences
#1
of 1 outputs
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