RadCon: phylogenetic tree comparison and consensus
نویسندگان
چکیده
منابع مشابه
RadCon: phylogenetic tree comparison and consensus
SUMMARY RadCon is a Macintosh program for manipulating and analysing phylogenetic trees. The program can determine the Cladistic Information Content of individual trees, the stability of leaves across a set of bootstrap trees, produce the strict basic Reduced Cladistic Consensus profile of a set of trees and convert a set of trees into its matrix representation for supertree construction. AVA...
متن کاملUncovering Hidden Phylogenetic Consensus
Many of the steps in phylogenetic reconstruction can be confounded by “rogue” taxa, taxa that cannot be placed with assurance anywhere within the tree—whose location within the tree, in fact, varies with almost any choice of algorithm or parameters. Phylogenetic consensus methods, in particular, are known to suffer from this problem. In this paper we provide a novel framework in which to define...
متن کاملMultipolar consensus for phylogenetic trees.
Collections of phylogenetic trees are usually summarized using consensus methods. These methods build a single tree, supposed to be representative of the collection. However, in the case of heterogeneous collections of trees, the resulting consensus may be poorly resolved (strict consensus, majority-rule consensus, ...), or may perform arbitrary choices among mutually incompatible clades, or sp...
متن کاملMinimal Phylogenetic Supertrees and Local Consensus Trees
The problem of constructing a minimally resolved phylogenetic supertree (i.e., having the smallest possible number of internal nodes) that contains all of the rooted triplets from a consistent set R is known to be NP-hard. In this paper, we prove that constructing a phylogenetic tree consistent with R that contains the minimum number of additional rooted triplets is also NP-hard, and develop ex...
متن کاملOnline Consensus and Agreement of Phylogenetic Trees
Computational heuristics are the primary methods for reconstruction of phylogenetic trees on large datasets. Most large-scale phylogenetic analyses produce numerous trees that are equivalent for some optimization criteria. Even using the best heuristics, it takes significant amount of time to obtain optimal trees in simulation experiments. When biological data are used, the score of the optimal...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bioinformatics
سال: 2000
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/16.5.486