Debian Med Project
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Summary
Phylogeny
Debian Med phylogeny packages

This lists Debian packages related to phylogeny for use in life sciences. The purpose of this compilation of packages is to have a handy subset of from the med-bio metapackage which contains a lot more than only phylogeny related software.

Description

For a better overview of the project's availability as a Debian package, each head row has a color code according to this scheme:

If you discover a project which looks like a good candidate for Debian Med to you, or if you have prepared an unofficial Debian package, please do not hesitate to send a description of that project to the Debian Med mailing list

Links to other tasks

Debian Med Phylogeny packages

Official Debian packages with high relevance

altree
program to perform phylogeny-based association and localization analysis
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ALTree was designed to perform association detection and localization of susceptibility sites using haplotype phylogenetic trees: first, it allows the detection of an association between a candidate gene and a disease, and second, it enables to make hypothesis about the susceptibility loci.

Please cite: Claire Bardel, Vincent Danjean and Emmanuelle Genin: ALTree: association detection and localization of susceptibility sites using haplotype phylogenetic trees. (PubMed,eprint) Bioinformatics 22(11):1402-1403 (2006)
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beast-mcmc
Bayesian MCMC phylogenetic inference
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BEAST is a cross-platform program for Bayesian MCMC analysis of molecular sequences. It is entirely orientated towards rooted, time-measured phylogenies inferred using strict or relaxed molecular clock models. It can be used as a method of reconstructing phylogenies but is also a framework for testing evolutionary hypotheses without conditioning on a single tree topology. BEAST uses MCMC to average over tree space, so that each tree is weighted proportional to its posterior probability. Included is a simple to use user-interface program for setting up standard analyses and a suit of programs for analysing the results.

The package is enhanced by the following packages: beast-mcmc-doc beast-mcmc-examples
Please cite: Alexei J Drummond and Andrew Rambaut: BEAST: Bayesian evolutionary analysis by sampling trees. (PubMed,eprint) BMC Evol Biol 8(7):214 (2007)
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clustalw
global multiple nucleotide or peptide sequence alignment
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This program performs an alignment of multiple nucleotide or amino acid sequences. It recognizes the format of input sequences and whether the sequences are nucleic acid (DNA/RNA) or amino acid (proteins). The output format may be selected from in various formats for multiple alignments such as Phylip or FASTA. Clustal W is very well accepted.

The output of Clustal W can be edited manually but preferably with an alignment editor like SeaView or within its companion Clustal X. When building a model from your alignment, this can be applied for improved database searches. The Debian package hmmer creates such in form of an HMM.

The package is enhanced by the following packages: clustalw-mpi
Please cite: M. A. Larkin, G. Blackshields, N. P. Brown, R. Chenna, P. A. McGettigan, H. McWilliam, F. Valentin, I.M. Wallace, A. Wilm, R. Lopez, J. D. Thompson, T. J. Gibson and D. G. Higgins: Clustal W and Clustal X version 2.0. (PubMed,eprint) Bioinformatics 23(21):2947-2948 (2007)
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Topics: Sequence analysis
clustalx
Multiple alignment of nucleic acid and protein sequences (graphical interface)
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This package offers a GUI interface for the Clustal multiple sequence alignment program. It provides an integrated environment for performing multiple sequence- and profile-alignments to analyse the results. The sequence alignment is displayed in a window on the screen. A versatile coloring scheme has been incorporated to highlight conserved features in the alignment. For professional presentations, one should use the texshade LaTeX package or boxshade.

The pull-down menus at the top of the window allow you to select all the options required for traditional multiple sequence and profile alignment. You can cut-and-paste sequences to change the order of the alignment; you can select a subset of sequences to be aligned; you can select a sub-range of the alignment to be realigned and inserted back into the original alignment.

An alignment quality analysis can be performed and low-scoring segments or exceptional residues can be highlighted.

Please cite: M.A. Larkin, G. Blackshields, N.P. Brown, R. Chenna, P.A. McGettigan, H. McWilliam, F. Valentin, I.M. Wallace, A. Wilm, R. Lopez, J.D. Thompson, T.J. Gibson and D.G. Higgins: Clustal W and Clustal X version 2.0. (PubMed,eprint) Bioinformatics 23(21):2947-2948 (2007)
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Topics: Sequence analysis
dialign
Segment-based multiple sequence alignment
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DIALIGN2 is a command line tool to perform multiple alignment of protein or DNA sequences. It constructs alignments from gapfree pairs of similar segments of the sequences. This scoring scheme for alignments is the basic difference between DIALIGN and other global or local alignment methods. Note that DIALIGN does not employ any kind of gap penalty.

Please cite: Burkhard Morgenstern: DIALIGN 2: improvement of the segment-to-segment approach to multiple sequence alignment. (PubMed,eprint) Bioinformatics 15(3):211-218 (1999)
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dialign-tx
Segment-based multiple sequence alignment
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DIALIGN-TX is a command line tool to perform multiple alignment of protein or DNA sequences. It is a complete reimplementation of the segment-base approach including several new improvements and heuristics that significantly enhance the quality of the output alignments compared to DIALIGN 2.2 and DIALIGN-T. For pairwise alignment, DIALIGN-TX uses a fragment-chaining algorithm that favours chains of low-scoring local alignments over isolated high-scoring fragments. For multiple alignment, DIALIGN-TX uses an improved greedy procedure that is less sensitive to spurious local sequence similarities.

The package is enhanced by the following packages: dialign-tx-data
Please cite: Amarendran R. Subramanian, Michael Kaufmann and Burkhard Morgenstern: DIALIGN-TX: greedy and progressive approaches for segment-based multiple sequence alignment. (PubMed) Algorithms for Molecular Biology 3(1):6 (2008)
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exonerate
generic tool for pairwise sequence comparison
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Exonerate allows you to align sequences using a many alignment models, using either exhaustive dynamic programming, or a variety of heuristics. Much of the functionality of the Wise dynamic programming suite was reimplemented in C for better efficiency. Exonerate is an intrinsic component of the building of the Ensembl genome databases, providing similarity scores between RNA and DNA sequences and thus determining splice variants and coding sequences in general.

An In-silico PCR Experiment Simulation System (see the ipcress man page) is packaged with exonerate.

This package also comes with a selection of utilities for performing simple manipulations quickly on fasta files beyond 2Gb

Please cite: Guy C. Slater and Ewan Birney: Automated generation of heuristics for biological sequence comparison. (PubMed,eprint) BMC Bioinformatics 6(1):31 (2005)
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fastdnaml
Tool for construction of phylogenetic trees of DNA sequences
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fastDNAml is a program derived from Joseph Felsenstein's version 3.3 DNAML (part of his PHYLIP package). Users should consult the documentation for DNAML before using this program.

fastDNAml is an attempt to solve the same problem as DNAML, but to do so faster and using less memory, so that larger trees and/or more bootstrap replicates become tractable. Much of fastDNAml is merely a recoding of the PHYLIP 3.3 DNAML program from PASCAL to C.

Note that the homepage of this program is not available any more and so this program will probably not see any further updates.

Please cite: Gary J. Olsen, Hideo Matsuda, Ray Hagstrom and Ross Overbeek: fastDNAml: a tool for construction of phylogenetic trees of DNA sequences using maximum likelihood. (PubMed,eprint) Comput Appl Biosci 10(1):41-48 (1994)
fasttree
phylogenetic trees from alignments of nucleotide or protein sequences
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FastTree infers approximately-maximum-likelihood phylogenetic trees from alignments of nucleotide or protein sequences. It handles alignments with up to a million of sequences in a reasonable amount of time and memory. For large alignments, FastTree is 100-1,000 times faster than PhyML 3.0 or RAxML 7.

FastTree is more accurate than PhyML 3 with default settings, and much more accurate than the distance-matrix methods that are traditionally used for large alignments. FastTree uses the Jukes-Cantor or generalized time-reversible (GTR) models of nucleotide evolution and the JTT (Jones-Taylor-Thornton 1992) model of amino acid evolution. To account for the varying rates of evolution across sites, FastTree uses a single rate for each site (the "CAT" approximation). To quickly estimate the reliability of each split in the tree, FastTree computes local support values with the Shimodaira-Hasegawa test (these are the same as PhyML 3's "SH-like local supports").

This package contains a single threaded version (fasttree) and a parallel version which uses OpenMP (fasttreMP).

Please cite: Morgan N. Price, Paramvir S. Dehal and Adam P. Arkin: FastTree 2 -- Approximately Maximum-Likelihood Trees for Large Alignments.. (PubMed,eprint) PLoS ONE 5(3):e9490 (2010)
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figtree
graphical phylogenetic tree viewer
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FigTree is designed as a graphical viewer of phylogenetic trees and as a program for producing publication-ready figures. In particular it is designed to display summarized and annotated trees produced by BEAST.

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gmap
spliced and SNP-tolerant alignment for mRNA and short reads
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This package contains the programs GMAP and GSNAP as well as utilities to manage genome databases in GMAP/GSNAP format. GMAP (Genomic Mapping and Alignment Program) is a tool for aligning EST, mRNA and cDNA sequences. GSNAP (Genomic Short-read Nucleotide Alignment Program) is a tool for aligning single-end and paired-end transcriptome reads. Both tools can use a database of

  • known splice sites and identify novel splice sites.
  • known single-nucleotide polymorphisms (SNPs). GSNAP can align bisulfite-treated DNA.
Please cite: Thomas D. Wu and Serban Nacu: Fast and SNP-tolerant detection of complex variants and splicing in short reads. (PubMed,eprint) Bioinformatics 26(7):873-81 (2010)
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hmmer
profile hidden Markov models for protein sequence analysis
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HMMER is an implementation of profile hidden Markov model methods for sensitive searches of biological sequence databases using multiple sequence alignments as queries.

Given a multiple sequence alignment as input, HMMER builds a statistical model called a "hidden Markov model" which can then be used as a query into a sequence database to find (and/or align) additional homologues of the sequence family.

Please cite: S. R. Eddy: Profile hidden Markov models. (PubMed,eprint) Bioinformatics 14(9):755-763 (1998)
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iqtree
efficient phylogenetic software by maximum likelihood
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IQ-TREE is a very efficient maximum likelihood phylogenetic software with following key features among others:

  • A novel fast and effective stochastic algorithm to estimate maximum likelihood trees. IQ-TREE outperforms both RAxML and PhyML in terms of likelihood while requiring similar amount of computing time (see Nguyen et al., 2015)
  • An ultrafast bootstrap approximation to assess branch supports (see Minh et al., 2013).
  • A wide range of substitution models for binary, DNA, protein, codon, and morphological alignments.
  • Ultrafast model selection for all data types, 10 to 100 times faster than jModelTest and ProtTest.
  • Finding best partition scheme like PartitionFinder.
  • Partitioned models with mixed data types for phylogenomic (multi- gene) alignments, allowing for separate, proportional, or joint branch lengths among genes.
  • Supporting the phylogenetic likelihod library (PLL) (see Flouri et al., 2014)
Please cite: Lam Tung Nguyen, Heiko A. Schmidt, Arndt von Haeseler and Bui Quang Minh: IQ-TREE: A fast and effective stochastic algorithm for estimating maximum likelihood phylogenies. (PubMed,eprint) Mol. Biol. Evol. 32(1):268-274 (2015)
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jmodeltest
HPC selection of models of nucleotide substitution
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jModelTest is a tool to carry out statistical selection of best-fit models of nucleotide substitution. It implements five different model selection strategies: hierarchical and dynamical likelihood ratio tests (hLRT and dLRT), Akaike and Bayesian information criteria (AIC and BIC), and a decision theory method (DT). It also provides estimates of model selection uncertainty, parameter importances and model-averaged parameter estimates, including model-averaged tree topologies. jModelTest 2 includes High Performance Computing (HPC) capabilities and additional features like new strategies for tree optimization, model- averaged phylogenetic trees (both topology and branch length), heuristic filtering and automatic logging of user activity.

Please cite: Diego Darriba, Guillermo L Taboada, Ramón Doallo and David Posada: jModelTest 2: more models, new heuristics and parallel computing. (PubMed) Nature Methods 9(8):772 (2012)
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kalign
Global and progressive multiple sequence alignment
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Kalign is a command line tool to perform multiple alignment of biological sequences. It employs the Muth-Manber string-matching algorithm, to improve both the accuracy and speed of the alignment. It uses global, progressive alignment approach, enriched by employing an approximate string-matching algorithm to calculate sequence distances and by incorporating local matches into the otherwise global alignment.

Please cite: Lassmann, Timo.: Kalign 3: multiple sequence alignment of large datasets. (eprint) Bioinformatics 36(6):1928-1929 (2020)
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mrbayes
Bayesian Inference of Phylogeny
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Bayesian inference of phylogeny is based upon a quantity called the posterior probability distribution of trees, which is the probability of a tree conditioned on the observations. The conditioning is accomplished using Bayes's theorem. The posterior probability distribution of trees is impossible to calculate analytically; instead, MrBayes uses a simulation technique called Markov chain Monte Carlo (or MCMC) to approximate the posterior probabilities of trees.

The package is enhanced by the following packages: mrbayes-doc
Please cite: Fredrik Ronquist, Maxim Teslenko, Paul van der Mark, Daniel L. Ayres, Aaron Darling, Sebastian Höhna, Bret Larget, Liang Liu, Marc A. Suchard and John P. Huelsenbeck: MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice across a Large Model Space. (PubMed,eprint) Systematic Biology (2012)
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muscle
Multiple alignment program of protein sequences
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MUSCLE is a multiple alignment program for protein sequences. MUSCLE stands for multiple sequence comparison by log-expectation. In the authors tests, MUSCLE achieved the highest scores of all tested programs on several alignment accuracy benchmarks, and is also one of the fastest programs out there.

Muscle v5 is a major re-write of MUSCLE based on new algorithms.

Users should be aware that command line arguments compared to version 3.x of MUSCLE have changed!

Highest accuracy, scalable to thousands of sequences

Compared to previous versions, Muscle v5 is much more accurate, is often faster, and scales to much larger datasets. At the time of writing (late 2021), Muscle v5 has the highest scores on multiple alignment benchmarks including Balibase, Bralibase, Prefab and Balifam. It can align tens of thousands of sequences with high accuracy on a low-cost commodity computer (say, an 8-core Intel CPU with 32 Gb RAM). On large datasets, Muscle v5 is 20-30% more accurate than MAFFT and Clustal-Omega.

Alignment ensembles

Muscle v5 can generate ensembles of high-accuracy alternative alignments. All replicates have equal average accuracy on benchmark test, including the MSA made with default parameters. By comparing results of downstream analysis (trees, structure prediction...) on different replicates, you can assess the effects of alignment errors on your study.

Please cite: Robert C. Edgar: MUSCLE: multiple sequence alignment with high accuracy and high throughput. (PubMed,eprint) Nucleic Acids Research 32(5):1792-1797 (2004)
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Topics: Sequence analysis
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muscle3
multiple alignment program of protein sequences
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MUSCLE is a multiple alignment program for protein sequences. MUSCLE stands for multiple sequence comparison by log-expectation. In the authors tests, MUSCLE achieved the highest scores of all tested programs on several alignment accuracy benchmarks, and is also one of the fastest programs out there.

This is version 3 of the muscle program. It is a different program than muscle version 5 which is packaged as muscle in Debian.

Please cite: Robert C. Edgar: MUSCLE: multiple sequence alignment with high accuracy and high throughput. (PubMed,eprint) Nucleic Acids Research 32(5):1792-1797 (2004)
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Topics: Sequence analysis
mustang
multiple structural alignment of proteins
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Mustang is an algorithm to align multiple protein structures. Given a set of PDB files, the program uses the spatial information in the Calpha atoms of the set to produce a sequence alignment. Based on a progressive pairwise heuristic the algorithm then proceeds through a number of refinement passes. Mustang reports the multiple sequence alignment and the corresponding superposition of structures.

The package is enhanced by the following packages: mustang-testdata
Please cite: Arun S. Konagurthu, James C. Whisstock, Peter J. Stuckey and Arthur M. Lesk: MUSTANG: A multiple structural alignment algorithm. (PubMed) Proteins: Structure, Function, and Bioinformatics 64(3):559-574 (2006)
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njplot
phylogenetic tree drawing program
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NJplot is able to draw any dendrogram expressed in the Newick standard phylogenetic tree format (e.g., the format used by the Phylip package). NJplot is especially convenient for rooting the unrooted trees obtained from parsimony, distance or maximum likelihood tree-building methods.

Please cite: G. Perrière and M. Gouy: WWW-query: An on-line retrieval system for biological sequence banks. (PubMed) Biochimie 78(5):364–369 (1996)
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phylip
package of programs for inferring phylogenies
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The PHYLogeny Inference Package is a package of programs for inferring phylogenies (evolutionary trees) from sequences. Methods that are available in the package include parsimony, distance matrix, and likelihood methods, including bootstrapping and consensus trees. Data types that can be handled include molecular sequences, gene frequencies, restriction sites, distance matrices, and 0/1 discrete characters.

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phyml
Phylogenetic estimation using Maximum Likelihood
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PhyML is a software that estimates maximum likelihood phylogenies from alignments of nucleotide or amino acid sequences. It provides a wide range of options that were designed to facilitate standard phylogenetic analyses. The main strengths of PhyML lies in the large number of substitution models coupled to various options to search the space of phylogenetic tree topologies, going from very fast and efficient methods to slower but generally more accurate approaches. It also implements two methods to evaluate branch supports in a sound statistical framework (the non-parametric bootstrap and the approximate likelihood ratio test).

PhyML was designed to process moderate to large data sets. In theory, alignments with up to 4,000 sequences 2,000,000 character-long can be analyzed. In practice however, the amount of memory required to process a data set is proportional of the product of the number of sequences by their length. Hence, a large number of sequences can only be processed provided that they are short. Also, PhyML can handle long sequences provided that they are not numerous. With most standard personal computers, the “comfort zone” for PhyML generally lies around 3 to 500 sequences less than 2,000 character long.

This package also includes PhyTime.

Please cite: Stéphane Guindon: Bayesian estimation of divergence times from large sequence alignments. (PubMed,eprint) Molecular Biology and Evolution 27(8):1768-81 (2010)
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poa
Partial Order Alignment for multiple sequence alignment
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POA is Partial Order Alignment, a fast program for multiple sequence alignment (MSA) in bioinformatics. Its advantages are speed, scalability, sensitivity, and the superior ability to handle branching / indels in the alignment. Partial order alignment is an approach to MSA, which can be combined with existing methods such as progressive alignment. POA optimally aligns a pair of MSAs and which therefore can be applied directly to progressive alignment methods such as CLUSTAL. For large alignments, Progressive POA is 10-30 times faster than CLUSTALW.

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populations
population genetic software
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Populations is a population genetic software. It computes genetic distances between populations or individuals. It builds phylogenetic trees (NJ or UPGMA) with bootstrap values.

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pplacer
phylogenetic placement and downstream analysis
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Pplacer places reads on a phylogenetic tree. guppy (Grand Unified Phylogenetic Placement Yanalyzer) yanalyzes them. rppr is a helpful tool for working with reference packages.

Pplacer places query sequences on a fixed reference phylogenetic tree to maximize phylogenetic likelihood or posterior probability according to a reference alignment. Pplacer is designed to be fast, to give useful information about uncertainty, and to offer advanced visualization and downstream analysis.

Please cite: Frederick A Matsen, Robin B Kodner and E Virginia Armbrust: pplacer: linear time maximum-likelihood and Bayesian phylogenetic placement of sequences onto a fixed reference tree. (PubMed,eprint) BMC Bioinformatics 11:538 (2010)
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proalign
Probabilistic multiple alignment program
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ProAlign performs probabilistic sequence alignments using hidden Markov models (HMM). It includes a graphical interface (GUI) allowing to (i) perform alignments of nucleotide or amino-acid sequences, (ii) view the quality of solutions, (iii) filter the unreliable alignment regions and (iv) export alignments to other software.

ProAlign uses a progressive method, such that multiple alignment is created stepwise by performing pairwise alignments in the nodes of a guide tree. Sequences are described with vectors of character probabilities, and each pairwise alignment reconstructs the ancestral (parent) sequence by computing the probabilities of different characters according to an evolutionary model.

Please cite: Ari Löytynoja and Michel C Milinkovitch: A hidden Markov model for progressive multiple alignment. (PubMed,eprint) Bioinformatics 19(12):1505-13 (2003)
probalign
multiple sequence alignment using partition function posterior probabilities
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Probalign uses partition function posterior probability estimates to compute maximum expected accuracy multiple sequence alignments. It performs statistically significantly better than the leading alignment programs Probcons v1.1, MAFFT v5.851, and MUSCLE v3.6 on BAliBASE 3.0, HOMSTRAD, and OXBENCH benchmarks. Probalign improvements are largest on datasets containing N/C terminal extensions and on datasets with long and heterogeneous length sequences. On heteregeneous length datasets containing repeats Probalign alignment accuracy is 10% and 15% higher than the other three methods when standard deviation of length is at least 300 and 400.

Please cite: Usman Roshan and Dennis R. Livesay: Probalign: multiple sequence alignment using partition function posterior probabilities. (PubMed,eprint) Bioinformatics 22(22):2715-21 (2006)
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probcons
PROBabilistic CONSistency-based multiple sequence alignment
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Tool for generating multiple alignments of protein sequences. Using a combination of probabilistic modeling and consistency-based alignment techniques, PROBCONS has achieved the highest accuracies of all alignment methods to date. On the BAliBASE benchmark alignment database, alignments produced by PROBCONS show statistically significant improvement over current programs, containing an average of 7% more correctly aligned columns than those of T-Coffee, 11% more correctly aligned columns than those of CLUSTAL W, and 14% more correctly aligned columns than those of DIALIGN.

Please cite: Chuong B. Do, Mahathi S.P. Mahabhashyam, Michael Brudno and Serafim Batzoglou: ProbCons: Probabilistic consistency-based multiple sequence alignment. (PubMed,eprint) Genome Research 15(2):330-340 (2005)
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proda
Proteiinisarjojen moninainen rivitys
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ProDA on järjestelmä mielivaltaisten proteiinikokoelmien homologisten alueiden sijoittumisen tunnistamiseen. Kun syötetään sarja sekvenssejä, ProDA tunnistaa kaikki yhdessä tai useammassa sekvenssissä esiintyvät homologiset alueet ja tulostaa näiden alueiden sijaintitiedot.

Please cite: Tu Minh Phuong, Chuong B. Do, Robert C. Edgar and Serafim Batzoglou: Multiple alignment of protein sequences with repeats and rearrangements. (PubMed,eprint) Nucl. Acids Res. 34(20):5932-5942 (2006)
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prottest
selection of best-fit models of protein evolution
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PROTTEST (ModelTest's relative) is a program for selecting the model of protein evolution that best fits a given set of sequences (alignment). This java program is based on the Phyml program (for maximum likelihood calculations and optimization of parameters) and uses the PAL library as well. Models included are empirical substitution matrices (such as WAG, LG, mtREV, Dayhoff, DCMut, JTT, VT, Blosum62, CpREV, RtREV, MtMam, MtArt, HIVb, and HIVw) that indicate relative rates of amino acid replacement, and specific improvements (+I:invariable sites, +G: rate heterogeneity among sites, +F: observed amino acid frequencies) to account for the evolutionary constraints impossed by conservation of protein structure and function. ProtTest uses the Akaike Information Criterion (AIC) and other statistics (AICc and BIC) to find which of the candidate models best fits the data at hand.

Please cite: Diego Darriba, Guillermo L. Taboada, Ramón Doallo and David Posada: ProtTest 3: fast selection of best-fit models of protein evolution. (PubMed,eprint) Bioinformatics 27(8):1164-5 (2011)
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quicktree
Neighbor-Joining algorithm for phylogenies
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QuickTree is an efficient implementation of the Neighbor-Joining algorithm (PMID: 3447015), capable of reconstructing phylogenies from huge alignments in time less than the age of the universe.

QuickTree accepts both distance matrix and multiple-sequence-aligment inputs. The former should be in PHYLIP format. The latter should be in Stockholm format, which is the native alignment format for the Pfam database. Alignments in various formats can be converted to Stockholm format with the sreformat program, which is part of the HMMer package (hmmer.org).

The tress are written to stdout, in the Newick/New-Hampshire format use by PHYLIP and many other programs

seaview
Multiplatform interface for sequence alignment and phylogeny
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SeaView is a viewer and editor of multiple sequence alignments, i.e. DNA or protein sequences are positioned each in their own separate line, such that the nucleotide/amino acid at a particular position (column) is presumed to have the same biochemical property.

SeaView reads and writes various file formats (NEXUS, MSF, CLUSTAL, FASTA, PHYLIP, MASE, Newick) of DNA and protein sequences and of phylogenetic trees. Alignments can be manually edited. It drives the programs Muscle or Clustal Omega for multiple sequence alignment, and also allows one to use any external alignment algorithm able to read and write FASTA-formatted files. It computes phylogenetic trees by parsimony using PHYLIP's dnapars/protpars algorithm, by distance with NJ or BioNJ algorithms on a variety of evolutionary distances, or by maximum likelihood using the program PhyML 3.0.

SeaView draws phylogenetic trees on screen or PostScript files, and allows one to download sequences from EMBL/GenBank/UniProt using the Internet.

The package is enhanced by the following packages: muscle muscle3
Please cite: Manolo Gouy, Stephane Guindon and Olivier Gascuel: SeaView version 4: a multiplatform graphical user interface for sequence alignment and phylogenetic tree building. (PubMed,eprint) Mol Biol Evol 27(2):221-224 (2010)
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sigma-align
Simple greedy multiple alignment of non-coding DNA sequences
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Sigma (“Simple greedy multiple alignment”) is an alignment program. It's algorithm and scoring scheme are designed specifically for non-coding DNA sequence.

It uses a strategy of seeking the best possible gapless local alignments. This happens at each step making the best possible alignment consistent with existing alignments. It scores the significance of the alignment based on the lengths of the aligned fragments and a background model. These may be supplied or estimated from an auxiliary file of intergenic DNA.

Please cite: Siddharthan, Rahul: Sigma: multiple alignment of weakly-conserved non-coding DNA sequence. (PubMed) BMC Bioinformatics 7(1):143 (2006)
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spread-phy
analyze and visualize phylogeographic reconstructions
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SPREAD is a user-friendly application to analyze and visualize phylogeographic reconstructions resulting from Bayesian inference of spatio-temporal diffusion.

There is a tutorial for SPREAD online at http://www.kuleuven.be/aidslab/phylogeography/tutorial/spread_tutorial.html

Originally this program is named "spread". However, there is just such a package inside Debian and thus a 'phy' for phylogeny was prepended.

Please cite: Filip Bielejec, Andrew Rambaut, Marc A. Suchard and Philippe Lemey: SPREAD: spatial phylogenetic reconstruction of evolutionary dynamics. (PubMed,eprint) Bioinformatics 27(20):2910-2912 (2011)
t-coffee
Multiple Sequence Alignment
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T-Coffee is a multiple sequence alignment package. Given a set of sequences (Proteins or DNA), T-Coffee generates a multiple sequence alignment. Version 2.00 and higher can mix sequences and structures.

T-Coffee allows the combination of a collection of multiple/pairwise, global or local alignments into a single model. It can also estimate the level of consistency of each position within the new alignment with the rest of the alignments. See the pre-print for more information

T-Coffee has a special called M-Coffee that makes it possible to combine the output of many multiple sequence alignment packages. In its published version, it uses MUSCLE, PROBCONS, POA, DiAlign-TS, MAFFT, Clustal W, PCMA and T-Coffee. A special version has been made for Debian, DM-Coffee, that uses only free software by replacing Clustal W by Kalign. Using the 8 Methods of M-Coffee can sometimes be a bit heavy. You can use a subset of your favorite methods if you prefer.

The package is enhanced by the following packages: clustalw dialign-tx kalign mafft muscle muscle3 ncbi-blast+ poa prank probcons tm-align
Please cite: Cédric Notredame, Desmond G. Higgins and Jaap Heringa: T-coffee: a novel method for fast and accurate multiple sequence alignment. (PubMed) Journal of Molecular Biology 302(1):205-217 (2000)
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tm-align
structural alignment of proteins
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TM-align is a computer algorithm for protein structure alignment using dynamic programming. The scoring is performed by the TM-score rotation matrix. This is similar to the RMSD in that unaligned portions of the structure influence the scoring less than the more structurally conserved regions.

Please cite: Yang Zhang and Jeffrey Skolnick: TM-align: A protein structure alignment algorithm based on TM-score. (PubMed,eprint) Nucleic Acids Research 33(7):2302-2309 (2005)
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tree-ppuzzle
Parallelized reconstruction of phylogenetic trees by maximum likelihood
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TREE-PUZZLE (the new name for PUZZLE) is an interactive console program that 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 also 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.

This is the parallelized version of tree-puzzle.

Please cite: Heiko A. Schmidt, Korbinian Strimmer, Martin Vingron and Arndt von Haeseler: TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing. (PubMed,eprint) Bioinformatics 18(3):502-504 (2002)
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tree-puzzle
Reconstruction of phylogenetic trees by maximum likelihood
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TREE-PUZZLE (the new name for PUZZLE) is an interactive console program that 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 also 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.

Please cite: Heiko A. Schmidt, Korbinian Strimmer, Martin Vingron and Arndt von Haeseler: TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing. (PubMed,eprint) Bioinformatics 18(3):502-504 (2002)
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treeview
Java re-implementation of Michael Eisen's TreeView
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TreeView creates a matrix-like display of expression data, known as Eisen clustering. The original implementation was a Windows program named TreeView by Michael Eisen. This TreeView package, sometimes also referred to as jTreeView, was rewritten in Java under a free license.

Java TreeView is an extensible viewer for microarray data in PCL or CDT format.

Please cite: Alok J. Saldanha: Java Treeview -- extensible visualization of microarray data. (PubMed,eprint) Bioinformatics 20(17):3246-3248 (2004)
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treeviewx
Displays and prints phylogenetic trees
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TreeView X is an open source and multi-platform program to display phylogenetic trees. It can read and display NEXUS and Newick format tree files (such as those output by PAUP*, ClustalX, TREE-PUZZLE, and other programs). It allows one to order the branches of the trees, and to export the trees in SVG format.

Please cite: Page, Roderic D. M.: TreeView: an application to display phylogenetic trees on personal computers. (PubMed) Comput. Appl. Biosci. 12(4):357-8 (1996)
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veryfasttree
Speeding up the estimation of phylogenetic trees from sequences
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VeryFastTree is a highly efficient implementation inspired by the FastTree-2 tool, designed to expedite the inference of approximately-maximum-likelihood phylogenetic trees from nucleotide or protein sequence alignments. It is an optimized implementation designed to accelerate the estimation of phylogenies for large alignments. By leveraging parallelization and vectorization strategies, VeryFastTree significantly improves the performance and scalability of phylogenetic analysis, allowing it to construct phylogenetic trees in a fraction of the time previously required.

Maintaining the integrity of FastTree-2, VeryFastTree retains the same phases, methods, and heuristics used for estimating phylogenetic trees. This ensures that the topological accuracy of the trees produced by VeryFastTree remains equivalent to that of FastTree-2. Moreover, unlike the parallel version of FastTree-2, VeryFastTree guarantees deterministic results, eliminating any potential variations in the output.

To facilitate a seamless transition for users, VeryFastTree adopts the exact same command line arguments as FastTree-2. This means that by simply substituting FastTree-2 with VeryFastTree, and using the same set of options, users can significantly enhance the overall performance of their phylogenetic analyses.

Official Debian packages with lower relevance

python3-treetime
inference of time stamped phylogenies and ancestral reconstruction (Python 3)
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TreeTime provides routines for ancestral sequence reconstruction and the maximum likelihoo inference of molecular-clock phylogenies, i.e., a tree where all branches are scaled such that the locations of terminal nodes correspond to their sampling times and internal nodes are placed at the most likely time of divergence.

TreeTime aims at striking a compromise between sophisticated probabilistic models of evolution and fast heuristics. It implements GTR models of ancestral inference and branch length optimization, but takes the tree topology as given. To optimize the likelihood of time-scaled phylogenies, treetime uses an iterative approach that first infers ancestral sequences given the branch length of the tree, then optimizes the positions of unconstraine d nodes on the time axis, and then repeats this cycle. The only topology optimization are (optional) resolution of polytomies in a way that is most (approximately) consistent with the sampling time constraints on the tree. The package is designed to be used as a stand-alone tool or as a library used in larger phylogenetic analysis workflows.

Features

  • ancestral sequence reconstruction (marginal and joint maximum likelihood)
  • molecular clock tree inference (marginal and joint maximum likelihood)
  • inference of GTR models
  • rerooting to obtain best root-to-tip regression
  • auto-correlated relaxed molecular clock (with normal prior)

This package provides the Python 3 module.

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Packaging has started and developers might try the packaging code in VCS

forester
Graphical vizualiation tool Archaeopteryx
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Archaeopteryx is a software tool for the visualization, analysis, and editing of potentially large and highly annotated phylogenetic trees. It can be used both as applet (ArchaeopteryxA and ArchaeopteryxE) and as a standalone application.

patristic
Calculate patristic distances and comparing the components of genetic change
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Patristic overcomes some logistic barriers to analysing signals in sequences. In additional to calculating patristic distances, it provides plots for any combination of matrices, calculates commonly used statistics, allows data such as isolation dates to be entered and reorders matrices with matching species or gene labels. It will be used to analyse rates of mutation and substitutional saturation and the evolution of viruses.

Please cite: Mathieu Fourment and Mark J Gibbs: PATRISTIC: a program for calculating patristic distances and graphically comparing the components of genetic change. (PubMed,eprint) BMC Evolutionary Biology 6:1 (2006)

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phylowin - wnpp
Graphical interface for molecular phylogenetic inference
License: unknown
Debian package not available

Phylo_win is a graphical colour interface for molecular phylogenetic inference. It performs neighbor-joining, parsimony and maximum likelihood methods and bootstrap with any of them. Many distances can be used including Jukes & Cantor, Kimura, Tajima & Nei, HKY, Galtier & Gouy (1995), LogDet for nucleotidic sequences, Poisson correction for protein sequences, Ka and Ks for codon sequences. Species and sites to include in the analysis are selected by mouse. Reconstructed trees can be drawn, edited, printed, stored and evaluated according to numerous criteria.

This program uses sources files from the Phylip program, which forbids its use for profit. Therfore, Phylo_win will unfortunately have to be distributed in contrib or non-free.

Remark of Debian Med team: Issuer of previous ITP said:

Because I could never figure out the license of Phylo_win, and because the upstream authors released SeaView 4, which provides similar functionalities, I will not package Phylo_win.

Probably it makes sense to remove this project from the prospective packages list.

No known packages available

gbioseq
DNA sequence editor for Linux
License: GPL
Debian package not available

gBioSeq is in an early stage of development, but it is already running. The goal is to provide an easy to use software to edit DNA sequences under Linux, Windows, MacOsX, using GTK C# (Mono).

jstreeview
Editor for Phylogenetic Trees
License: MIT/X11
Debian package not available
Language: JavaScript

A concise viewer/editor for phylogenetic trees in the Newick format. The core functions are written in JavaScript, using the canvas tag proposed by HTML 5. No server side support is needed for rendering the picture and therefore you can grab this page together with knhx.js and canvastext.js to locally view your trees in a supported web browser.

The source can be downloaded at http://www.sanger.ac.uk/Users/lh3/download/jstreeview.zip

phpphylotree
draw phylogenetic trees
License: GPL
Debian package not available

PhpPhylotree is a web application that is able to draw phylogenetic trees. It produces an SVG (Scalable Vector Graphic) file from phylip/newick tree files.

treetime
Bayesian sampling of phylogenetic trees from molecular data
License: GPL
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TreeTime is controlled by input files in nexus format and does bayesian sampling of phylogenetic trees from these data.

*Popularitycontest results: number of people who use this package regularly (number of people who upgraded this package recently) out of 248469