Name
Abstract | ||
|---|---|---|
Phylogenetic tree reconciliation is a widely used approach for analyzing the inconsistencies between the evolutionary histories of genes, and the species through which they have evolved. An important aspect of tree reconciliation are the cost functions involved that are the minimum number of evolutionary events explaining such inconsistencies. Mean values for these functions are fundamental when analyzing tree reconciliations. Here we describe mean value formulas when a history of genes is fixed for the cost functions for the events gene duplication, gene loss and gene duplication-loss, under the uniform model of species trees. We show that these formulas can be efficiently computed, and finally analyze the mean values using empirical and simulated data. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-59575-7_21 | BIOINFORMATICS RESEARCH AND APPLICATIONS (ISBRA 2017) |
Keywords | Field | DocType |
Tree reconciliation,Duplication-loss model,Deep coalescence,Speciation,Gene duplication,Gene loss,Bijectively labelled tree,Uniform model of trees,Mean value | Gene,Phylogenetic tree,Mean value,Computer science,Botany,Split,Artificial intelligence,Gene duplication,Evolutionary biology,Machine learning | Conference |
Volume | ISSN | Citations |
10330 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 9 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pawel Górecki | 1 | 112 | 14.26 |
| Alexey Markin | 2 | 0 | 3.38 |
| Agnieszka Mykowiecka | 3 | 119 | 22.47 |
| Jaroslaw Paszek | 4 | 7 | 3.23 |
| O Eulenstein | 5 | 13 | 5.25 |