add treepuzzle 5.1

Maximum likelihood phylogeny reconstruction using quartets

PR:		45241
Submitted by:	Jan Lentfer <lentferj@neslonek.bio.tu-darmstadt.de>
This commit is contained in:
Ying-Chieh Liao 2002-11-20 08:54:10 +00:00
parent e95f4bc544
commit 545bf7ae46
Notes: svn2git 2021-03-31 03:12:20 +00:00
svn path=/head/; revision=70552
6 changed files with 41 additions and 0 deletions

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SUBDIR += tRNAscan-SE
SUBDIR += t_coffee
SUBDIR += tinker
SUBDIR += treepuzzle
SUBDIR += treeviewx
SUBDIR += wise
SUBDIR += xdrawchem

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# Ports collection makefile for: treepuzzle
# Date created: 26 August 2002
# Whom: lentferj
#
# $FreeBSD$
#
PORTNAME= treepuzzle
PORTVERSION= 5.1
CATEGORIES= biology
MASTER_SITES= http://www.tree-puzzle.de/
DISTNAME= tree-puzzle-${PORTVERSION}
MAINTAINER= jan.lentfer@web.de
GNU_CONFIGURE= yes
CONFIGURE_TARGET= --build=${MACHINE_ARCH}-portbld-freebsd${OSREL}
.include <bsd.port.mk>

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MD5 (tree-puzzle-5.1.tar.gz) = 5c33d8c0d2c5da21f246e9bf6a0c3513

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Maximum likelihood phylogeny reconstruction using quartets

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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.
WWW: http://www.tree-puzzle.de

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bin/puzzle