1992
DOI: 10.1016/0001-8708(92)90061-o
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A canonical decomposition theory for metrics on a finite set

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Cited by 333 publications
(346 citation statements)
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“…Details on the dataset can be found in the Electronic Supplement. 1 Over all, the published experimental evidence on metazoan snRNAs is very unevenly distributed. For example, a large and phylogentically diverse set of U2 snRNA sequences is reported in [20], while most other snRNAs have mostly been reported for a few model organisms only.…”
Section: Sequence Datamentioning
confidence: 99%
See 1 more Smart Citation
“…Details on the dataset can be found in the Electronic Supplement. 1 Over all, the published experimental evidence on metazoan snRNAs is very unevenly distributed. For example, a large and phylogentically diverse set of U2 snRNA sequences is reported in [20], while most other snRNAs have mostly been reported for a few model organisms only.…”
Section: Sequence Datamentioning
confidence: 99%
“…Since the snRNA sequences are short and in addition there are several highly variable regions, we use split decomposition [1] and the neighbor net [7] algorithm (as implemented as part of the SplitsTree4 package [33]) to construct phylogenetic networks rather than phylogenetic trees. The advantage of these method is that they are very conservative and that the reconstructed networks provide and easy-tograsp representation of the considerable noise in the sequence data.…”
Section: Phylogenetic Analysismentioning
confidence: 99%
“…Parallel to the increasing amount of sequence information available a variety of methods have been suggested to reconstruct a phylogenetic tree (1) or a phylogenetic network (2)(3)(4). So far, few approaches have been proposed to elucidate the phylogenetic content in a set of aligned sequence a priori (5,6).…”
mentioning
confidence: 99%
“…We use different distance-based and parsimony-type approaches here: Neighbor joining method (Saitou and Nei, 1987) (implemented in the phylip package, version 3.6) (Felsenstein, 1989), the canonical split decomposition (Bandelt and Dress, 1992), Buneman trees (Buneman, 1971), parsimony splits and P-trees (Bandelt and Dress, 1993). With the exception of NJ these methods are implemented in the splitstree package (version 3.1) (Huson, 1998).…”
Section: Methodsmentioning
confidence: 99%