Correction of weighted orthology and paralogy relations. Complexity and algorithmic results
Contributo in Atti di convegno
Data di Pubblicazione:
2016
Citazione:
(2016). Correction of weighted orthology and paralogy relations. Complexity and algorithmic results . Retrieved from http://hdl.handle.net/10446/78440
Abstract:
A relation graph for a gene family is a graph with vertices representing the genes, edges connecting pairs of orthologous genes and “missing” edges representing paralogs. While a gene tree directly leads to a set of orthology and paralogy relations, the converse is not always true. Indeed a relation graph cannot necessarily be inferred from any tree, and even if it is “satisfiable” by a tree, this tree is not necessarily “consistent”, i.e. does not necessarily reflect a valid history for the genes, in agreement with a species tree. Here, we consider the problems of minimally correcting a relation graph for satisfiability and consistency, when a degree of confidence is assigned to each orthology or paralogy relation, leading to a weighted relation graph. We provide complexity and algorithmic results for minimizing corrections on a weighted graph, and also for the maximization variant of the problems for unweighted graphs.
Tipologia CRIS:
1.4.01 Contributi in atti di convegno - Conference presentations
Elenco autori:
Dondi, Riccardo; El Mabrouk, Nadia; Lafond, Manuel
Link alla scheda completa:
Titolo del libro:
Algorithms in Bioinformatics. 16th International Workshop, WABI 2016, Aarhus, Denmark, August 22-24, 2016. Proceedings
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