Testing for Evolutionary Relationship
An Application of Mathematics in Molecular Biology
Dados Bibliográficos
| ID | 22305244 |
|---|---|
| Autores | Andrew D Barbour (0009-0007-6051-2197, University of Zurich, autor correspondente) |
| Ano | 2005 |
| Volume | 01 |
| Fascículo | 01 |
| Páginas | 29-45 |
| Data de publicação | 2005-05-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | COSMOS (JOURNAL) |
| Identificadores do periódico | ISSN: 0219-6077 • E-ISSN: 1793-7051 |
| Editora | World Scientific Pub Co Pte Lt (PUBLISHER) |
| DOI | 10.1142/s0219607705000036 |
| OpenAlex | W2091174246 |
| Idioma | EN |
| Referências citadas | 26 |
The paper illustrates some mathematical problems that are motivated by molecular biological applications and the techniques that are used to address them. The context is that of detecting evolutionary relationship on the basis of molecular sequence data and of measuring its strength. The Stein–Chen method is shown to play a central role in the theoretical analysis of many of the procedures used in practice
Biology · Chen · Computational biology · Epistemology · Evolutionary biology · Management science · Computer Science · Engineering · Evolution and Genetic Dynamics · Fractal and DNA sequence analysis · Genomics and Phylogenetic Studies · Mathematics · Philosophy · Ecology · Genetics · Paleontology
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |