Name
Abstract | ||
|---|---|---|
Live Phylogeny generalizes the phylogeny theory by admitting living ancestors among the taxonomic objects. This theory suits cases of fast-evolving species like virus, and phylogenies of non-biological objects like documents, images and database records. In character-based live phylogeny, the input is a matrix with n objects and m characters, such each position i, j keeps the state of character j for the object i. The output is a tree where the input objects are represented as leaves or internal nodes labeled with a string of m symbols, representing the state of the characters. The goal is to obtain a tree with the minimal number of state changes along the edges, considering all characters, called the most parsimonious tree. In this paper we analyze problems related to most parsimonious tree using Live Phylogeny. We propose an improvement to a previously presented branch-and-bound algorithm and also a new heuristic for the problem. We present the results of experiments with a set of 20 Zika virus genome sequences, comparing the performance of our heuristic. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-94806-5_14 | BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES (BIOSTEC 2017) |
Keywords | Field | DocType |
Phylogeny,Character state phylogeny,Live phylogeny Parsimony,Algorithms | Zika virus,Heuristic,Matrix (mathematics),Computer science,Theoretical computer science,Artificial intelligence,Phylogenetics,Machine learning | Conference |
Volume | ISSN | Citations |
881 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rogério Güths | 1 | 0 | 0.34 |
| Guilherme P. Telles | 2 | 195 | 24.72 |
| Maria Emilia M. T. Walter | 3 | 37 | 14.23 |
| Nalvo F. Almeida | 4 | 5 | 4.94 |