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Software developed at the Department
- ALIFRITZ
performs statistical multiple alignment and phylogeny
reconstruction simultaneously.
The package is available at the
ALIFRITZ
homepage.
- EMOGEE (Estimator for MOdels of Gene Expression Evolution)
implements neutral models for evolution of gene expression
to analyze or simulate microarray data.
EMOGEE and related tools are available at the
EMOGEE
homepage.
- GeoMeTree (Geodesic Metric on Trees)
GeoMeTree is a python program to compute the geodesic path between two phylogenetic trees.
The package is available at the
GeoMeTree
homepage.
- HaMSTR
HaMSTR is a Hidden Markov Model based search tool to screen EST sequence data for the presence of putative orthologs to a pre-defined set of genes.
HaMSTR is accessible at
www.deep-phylogeny.org/hamstr.
- HGT
A software to simulate and estimate Horizontal Gene Transfer
events.
The package is available at the
HGT
homepage.
- ImOSM (Imbed One Step Mutations into an alignment)
A program to Imbed model violation as One Step Mutations into a
sequence alignment. This is a useful tool to study the robustness
in phylogeny inference.
ImOSM
homepage.
- IQPNNI (Important Quartet Puzzling with NNI Optimization)
A quartet based method to reconstruct phylogenetic trees
from really large datasets (DNA and protein).
The method applies a QP-like approach requiring only a
part of the quartets and some fast NNI optimization.
The package is available at the
IQPNNI
homepage.
- misfits
is a computer program to evaluate the goodness of fit between a phylogenetic model and an alignment.
The program is available at the
misfits
homepage.
- MRC.py
is a computer program to evaluate the compatibility lengths given supertrees and gene trees and to extract the supertrees with the minimal lengths.
The pprogram is available at the
MRC
homepage.
- NGV (Next Generation Viewer)
A Preprocessor and Browser for efficient display of large
HTS Data Sets.
The package is available at the
NGV homepage.
- Parat
estimates site specific substitution rates from a set of
DNA sequences.
The package is available at the
Parat
homepage.
- PDA (Phylogenetic Diversity Algorithm)
implements efficient algorithms to solve the Phylogenetic Diversity (PD) problem.
The package is available at the
PDA homepage.
- PhyNav (Phylogenetic Navigator)
A tree sampling method to reconstruct phylogenetic trees
from really large datasets (DNA and protein).
The method combines different methods to sample good trees.
PhyNav
homepage.
- (p)IPHULA [(parallel) Inference of Population History Using a Likelihood Approach]
(p)IPHULA is a software that investigates parameters of
population history based on a Monte Carlo simulation using
the maximum likelihood framework.
IPHULA/pIPHULA
homepage.
- Shortest Triplet Clustering (STC)
A new distance-based clustering method to reconstruct
very large phylogenies in polynomial time O(n^2) for n sequences.
The package is available at the
STC
homepage.
- SIMULATOR
Software to simulate DNA and protein datasets with well-defined
insertion-deletion dynamics according to a user-given tree.
The software is available at the
SIMULATOR homepage.
- SISSI (Simulating Sequence Evolution with Site-Specific Interactions)
SISSI is a software tool to generate data of related sequences
along a given phylogeny, taking into account user defined system of
neighbourhoods and instantaneous rate matrices.
The software is available at the
SISSI homepage.
- TAXNAMECONVERT
is a program to rename sequence and taxon names in tree and sequence files.
The software is available at the
Taxnameconvert homepage.
- TREE-PUZZLE
is a program package to reconstruct phylogenetic trees
from protein, DNA, and binary data by maximum likelihood.
The package is available at
www.tree-puzzle.de.
- TreeSnatcher
is a GUI-driven Java application that recognizes bifurcating
and multifurcating trees in pixel images (like JPG)
and outputs the tree in Newick format.
The software is available at the
TreeSnatcher homepage.
- TripleC
a program to constuct consensus trees from rooted triples.
The software is available at the
TripleC homepage.
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