diff options
author | V3n3RiX <venerix@redcorelinux.org> | 2017-10-09 18:53:29 +0100 |
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committer | V3n3RiX <venerix@redcorelinux.org> | 2017-10-09 18:53:29 +0100 |
commit | 4f2d7949f03e1c198bc888f2d05f421d35c57e21 (patch) | |
tree | ba5f07bf3f9d22d82e54a462313f5d244036c768 /sci-biology/tree-puzzle/metadata.xml |
reinit the tree, so we can have metadata
Diffstat (limited to 'sci-biology/tree-puzzle/metadata.xml')
-rw-r--r-- | sci-biology/tree-puzzle/metadata.xml | 28 |
1 files changed, 28 insertions, 0 deletions
diff --git a/sci-biology/tree-puzzle/metadata.xml b/sci-biology/tree-puzzle/metadata.xml new file mode 100644 index 000000000000..4a34df848e3a --- /dev/null +++ b/sci-biology/tree-puzzle/metadata.xml @@ -0,0 +1,28 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> +<pkgmetadata> + <maintainer type="project"> + <email>sci-biology@gentoo.org</email> + <name>Gentoo Biology Project</name> + </maintainer> + <longdescription> + TREE-PUZZLE is a computer program to reconstruct phylogenetic trees + from molecular sequence data by maximum likelihood. It implements a + fast tree search algorithm, quartet puzzling, that allows analysis of + large data sets and automatically assigns estimations of support to + each internal branch. TREE-PUZZLE also computes pairwise maximum + likelihood distances as well as branch lengths for user specified + trees. Branch lengths can be calculated under the clock-assumption. In + addition, TREE-PUZZLE offers a novel method, likelihood mapping, to + investigate the support of a hypothesized internal branch without + computing an overall tree and to visualize the phylogenetic content of + a sequence alignment. TREE-PUZZLE also conducts a number of statistical + tests on the data set (chi-square test for homogeneity of base + composition, likelihood ratio clock test, Kishino-Hasegawa test). The + models of substitution provided by TREE-PUZZLE are TN, HKY, F84, SH for + nucleotides, Dayhoff, JTT, mtREV24, VT, WAG, BLOSUM 62 for amino acids, + and F81 for two-state data. Rate heterogeneity is modeled by a discrete + Gamma distribution and by allowing invariable sites. The corresponding + parameters can be inferred from the data set. + </longdescription> +</pkgmetadata> |