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! Description || Methods || Author
! Description || Methods || Author
|-
|-
|AncesTree<ref>{{Cite journal|last=El-Kebir|first=Mohammed|last2=Oesper|first2=Layla|last3=Acheson-Field|first3=Hannah|last4=Raphael|first4=Benjamin J.|date=2015-06-15|title=Reconstruction of clonal trees and tumor composition from multi-sample sequencing data|url=https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btv261|journal=Bioinformatics|language=en|volume=31|issue=12|pages=i62–i70|doi=10.1093/bioinformatics/btv261|issn=1367-4803|pmc=PMC4542783|pmid=26072510}}</ref>
|AncesTree<ref>{{cite journal | vauthors = El-Kebir M, Oesper L, Acheson-Field H, Raphael BJ | title = Reconstruction of clonal trees and tumor composition from multi-sample sequencing data | journal = Bioinformatics | volume = 31 | issue = 12 | pages = i62-70 | date = June 2015 | pmid = 26072510 | pmc = 4542783 | doi = 10.1093/bioinformatics/btv261 | url = https://academic.oup.com/bioinformatics/article-lookup/doi/10.1093/bioinformatics/btv261 }}</ref>
|An algorithm for clonal tree reconstruction from multi-sample cancer sequencing data.
|An algorithm for clonal tree reconstruction from multi-sample cancer sequencing data.
|Maximum Likelihood, Integer Linear Programming (ILP)
|Maximum Likelihood, Integer Linear Programming (ILP)
|M. El-Kebir, L. Oesper, H. Acheson-Field, and B. J. Raphael
|M. El-Kebir, L. Oesper, H. Acheson-Field, and B. J. Raphael
|-
|-
| AliGROOVE <ref>AliGROOVE - visualization of heterogeneous sequence divergence within [[multiple sequence alignment]]s and detection of inflated branch support; Kueck et al.;BMC Bioinformatics 2014; 15:294</ref>|| Visualisation of heterogeneous sequence divergence within multiple sequence alignments and detection of inflated branch support || Identification of single taxa which show predominately randomized sequence similarity in comparison with other taxa in a multiple sequence alignment and evaluation of the reliability of node support in a given topology || Patrick Kück, Sandra A Meid, Christian Groß, Bernhard Misof, Johann Wolfgang Wägele.
| AliGROOVE <ref name="pmid25176556">{{cite journal | vauthors = Kück P, Meid SA, Groß C, Wägele JW, Misof B | title = AliGROOVE--visualization of heterogeneous sequence divergence within multiple sequence alignments and detection of inflated branch support | journal = BMC Bioinformatics | volume = 15 | issue = | pages = 294 | date = August 2014 | pmid = 25176556 | pmc = 4167143 | doi = 10.1186/1471-2105-15-294 }}</ref>|| Visualisation of heterogeneous sequence divergence within multiple sequence alignments and detection of inflated branch support || Identification of single taxa which show predominately randomized sequence similarity in comparison with other taxa in a multiple sequence alignment and evaluation of the reliability of node support in a given topology || Patrick Kück, Sandra A Meid, Christian Groß, Bernhard Misof, Johann Wolfgang Wägele.
|-
|-
| ape|| [[R-Project]] package for analysis of phylogenetics and evolution||Provides a large variety of phylogenetics functions||Maintainer: Emmanuel Paradis
| ape|| [[R-Project]] package for analysis of phylogenetics and evolution||Provides a large variety of phylogenetics functions||Maintainer: Emmanuel Paradis
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| Bayesian concordance of gene trees || Bayesian concordance using modified greedy consensus of unrooted quartets || C. Ané, B. Larget, D.A. Baum, S.D. Smith, A. Rokas and B. Larget, S.K. Kotha, C.N. Dewey, C. Ané
| Bayesian concordance of gene trees || Bayesian concordance using modified greedy consensus of unrooted quartets || C. Ané, B. Larget, D.A. Baum, S.D. Smith, A. Rokas and B. Larget, S.K. Kotha, C.N. Dewey, C. Ané
|-
|-
|Canopy<ref>{{Cite journal|last=Jiang|first=Yuchao|last2=Qiu|first2=Yu|last3=Minn|first3=Andy J.|last4=Zhang|first4=Nancy R.|date=2016-09-13|title=Assessing intratumor heterogeneity and tracking longitudinal and spatial clonal evolutionary history by next-generation sequencing|url=http://www.pnas.org/lookup/doi/10.1073/pnas.1522203113|journal=Proceedings of the National Academy of Sciences|language=en|volume=113|issue=37|pages=E5528–E5537|doi=10.1073/pnas.1522203113|issn=0027-8424|pmc=PMC5027458|pmid=27573852}}</ref>
|Canopy<ref>{{cite journal | vauthors = Jiang Y, Qiu Y, Minn AJ, Zhang NR | title = Assessing intratumor heterogeneity and tracking longitudinal and spatial clonal evolutionary history by next-generation sequencing | journal = Proceedings of the National Academy of Sciences of the United States of America | volume = 113 | issue = 37 | pages = E5528-37 | date = September 2016 | pmid = 27573852 | pmc = 5027458 | doi = 10.1073/pnas.1522203113 | url = http://www.pnas.org/lookup/doi/10.1073/pnas.1522203113 }}</ref>
|Assessing intratumor heterogeneity and tracking longitudinal and spatial clonal evolutionary history by next-generation sequencing
|Assessing intratumor heterogeneity and tracking longitudinal and spatial clonal evolutionary history by next-generation sequencing
|Maximum Likelihood, Markov Chain Monte Carlo (MCMC) methods
|Maximum Likelihood, Markov Chain Monte Carlo (MCMC) methods
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| Progressive multiple sequence alignment || Distance matrix/nearest neighbor || Thompson et al.
| Progressive multiple sequence alignment || Distance matrix/nearest neighbor || Thompson et al.
|-
|-
| [[Dendroscope]] <ref name="pmid22780991">{{cite journal | vauthors = Huson DH, Scornavacca C | title = Dendroscope 3: an interactive tool for rooted phylogenetic trees and networks | journal = Systematic Biology | volume = 61 | issue = 6 | pages = 1061–7 | date = December 2012 | pmid = 22780991 | doi = 10.1093/sysbio/sys062 }}</ref>
| [[Dendroscope]] <ref>
Huson, DH and C. Scornavacca, Dendroscope 3: An Interactive Tool for Rooted Phylogenetic Trees and Networks. Syst. Biol. 0(0):1–7, 2012. http://sysbio.oxfordjournals.org/content/early/2012/09/24/sysbio.sys062.full.pdf+html</ref>
| Tool for visualizing rooted trees and calculating rooted networks || Rooted trees, tanglegrams, consensus networks, hybridization networks || Daniel Huson et al.
| Tool for visualizing rooted trees and calculating rooted networks || Rooted trees, tanglegrams, consensus networks, hybridization networks || Daniel Huson et al.
|-
|-
| EzEditor <ref name="pmid24425826">{{cite journal | vauthors = Jeon YS, Lee K, Park SC, Kim BS, Cho YJ, Ha SM, Chun J | title = EzEditor: a versatile sequence alignment editor for both rRNA- and protein-coding genes | journal = International Journal of Systematic and Evolutionary Microbiology | volume = 64 | issue = Pt 2 | pages = 689–91 | date = February 2014 | pmid = 24425826 | doi = 10.1099/ijs.0.059360-0 }}</ref>
| EzEditor <ref>Yoon-Seong Jeon, Kihyun Lee, Sang-Cheol Park, Bong-Soo Kim, Yong-Joon Cho, Sung-Min Ha and Jongsik Chun, 10.1099/ijs.0.059360-0 IJSEM December 2013 Int J Syst Evol Microbiol 64, 689-691</ref>
| EzEditor is a java-based sequence alignment editor for rRNA and protein coding genes. It allows manipulation of both DNA and protein sequence alignments for phylogenetic analysis. || Neighbor Joining || Jeon, Y.S. ''et al.''
| EzEditor is a java-based sequence alignment editor for rRNA and protein coding genes. It allows manipulation of both DNA and protein sequence alignments for phylogenetic analysis. || Neighbor Joining || Jeon, Y.S. ''et al.''
|-
|-
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| Optimized maximum likelihood (nucleotides only) || Maximum likelihood || G.J. Olsen
| Optimized maximum likelihood (nucleotides only) || Maximum likelihood || G.J. Olsen
|-
|-
| FastTree 2<ref>{{cite journal|last1=Price|first1=Morgan N.|last2=Dehal|first2=Paramvir S.|last3=Arkin|first3=Adam P.|last4=Poon|first4=Art F. Y.|title=FastTree 2 - Approximately Maximum-Likelihood Trees for Large Alignments|journal=PLoS ONE|date=10 March 2010|volume=5|issue=3|pages=e9490|doi=10.1371/journal.pone.0009490|pmid=20224823|pmc=2835736}}</ref>
| FastTree 2<ref>{{cite journal | vauthors = Price MN, Dehal PS, Arkin AP | title = FastTree 2--approximately maximum-likelihood trees for large alignments | journal = PloS One | volume = 5 | issue = 3 | pages = e9490 | date = March 2010 | pmid = 20224823 | pmc = 2835736 | doi = 10.1371/journal.pone.0009490 }}</ref>
| Fast phylogenetic inference for alignments with up to hundreds of thousands of sequences || Approximate maximum likelihood || M.N. Price, P.S. Dehal, A.P. Arkin
| Fast phylogenetic inference for alignments with up to hundreds of thousands of sequences || Approximate maximum likelihood || M.N. Price, P.S. Dehal, A.P. Arkin
|-
|-
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| Iterative ML treesearch with stopping rule || Maximum likelihood, neighbor-joining || L.S. Vinh, A. von Haeseler, B.Q. Minh
| Iterative ML treesearch with stopping rule || Maximum likelihood, neighbor-joining || L.S. Vinh, A. von Haeseler, B.Q. Minh
|-
|-
| IQ-TREE<ref>{{cite journal | last1 = Nguyen | first1 = Lam-Tung | last2 = Chernomor | first2 = O | last3 = Schmidt | first3 = HA | last4 = von Haeseler | first4 = A | last5 = Minh | first5 = BQ | date = Jan 2015 | title = IQ-TREE: A fast and effective stochastic algorithm for estimating maximum likelihood phylogenies | journal = Mol Biol Evol | volume = 32 | issue = 1| pages = 268–74 | pmid = 25371430 | doi=10.1093/molbev/msu300 | pmc=4271533}}</ref>
| IQ-TREE<ref>{{cite journal | vauthors = Nguyen LT, Schmidt HA, von Haeseler A, Minh BQ | title = IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies | journal = Molecular Biology and Evolution | volume = 32 | issue = 1 | pages = 268–74 | date = January 2015 | pmid = 25371430 | pmc = 4271533 | doi = 10.1093/molbev/msu300 }}</ref>
| An efficient phylogenomic software by maximum likelihood, as successor of IQPNNI and TREE-PUZZLE. || Maximum likelihood, model selection, partitioning scheme finding, AIC, AICc, BIC, ultrafast bootstrapping,<ref>{{cite journal |last1 = Minh | first1 = BQ | last2 = Nguyen | first2 = MAT | last3 = von Haeseler | first3 = A | date = May 2013 | title = Ultrafast Approximation for Phylogenetic Bootstrap | journal = Mol Biol Evol | volume = 30 | issue = 5 | pages = 1188–1195 | pmid = 23418397 | doi=10.1093/molbev/mst024 | pmc=3670741}}</ref> branch tests, tree topology tests, likelihood mapping || Lam-Tung Nguyen, O. Chernomor, H.A. Schmidt, A. von Haeseler, B.Q. Minh
| An efficient phylogenomic software by maximum likelihood, as successor of IQPNNI and TREE-PUZZLE. || Maximum likelihood, model selection, partitioning scheme finding, AIC, AICc, BIC, ultrafast bootstrapping,<ref>{{cite journal | vauthors = Minh BQ, Nguyen MA, von Haeseler A | title = Ultrafast approximation for phylogenetic bootstrap | journal = Molecular Biology and Evolution | volume = 30 | issue = 5 | pages = 1188–95 | date = May 2013 | pmid = 23418397 | pmc = 3670741 | doi = 10.1093/molbev/mst024 }}</ref> branch tests, tree topology tests, likelihood mapping || Lam-Tung Nguyen, O. Chernomor, H.A. Schmidt, A. von Haeseler, B.Q. Minh
|-
|-
| jModelTest 2
| jModelTest 2
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| Phylogenetic analysis by maximum likelihood || Maximum likelihood and Bayesian inference || [[Ziheng Yang|Z. Yang]]
| Phylogenetic analysis by maximum likelihood || Maximum likelihood and Bayesian inference || [[Ziheng Yang|Z. Yang]]
|-
|-
| ParaPhylo<ref name="Hellmuth_2015" />
| ParaPhylo<ref>Phylogenomics with paralogs; Hellmuth et al.; Proc Natl Acad Sci 2015; 112:7</ref>
| Computation of gene and species trees based on event-relations (orthology, paralogy) || Cograph-Editing and Triple-Inference || M. Hellmuth, N. Wieseke, M. Lechner, H.-P. Lenhof, M. Middendorf, P.F. Stadler
| Computation of gene and species trees based on event-relations (orthology, paralogy) || Cograph-Editing and Triple-Inference || Hellmuth <ref name="Hellmuth_2015">{{cite journal | vauthors = Hellmuth M, Wieseke N, Lechner M, Lenhof HP, Middendorf M, Stadler PF | title = Phylogenomics with paralogs | journal = Proceedings of the National Academy of Sciences of the United States of America | volume = 112 | issue = 7 | pages = 2058–63 | date = February 2015 | pmid = 25646426 | pmc = 4343152 | doi = 10.1073/pnas.1412770112 }}</ref>
|-
|-
| PartitionFinder
| PartitionFinder
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| Phylogenetic analysis using parsimony (*and other methods) || Maximum parsimony, distance matrix, maximum likelihood || D. Swofford
| Phylogenetic analysis using parsimony (*and other methods) || Maximum parsimony, distance matrix, maximum likelihood || D. Swofford
|-
|-
| phangorn <ref>{{cite journal | last1 = Schliep | first1 = KP | year = 2011 | title = phangorn: phylogenetic analysis in R | journal = Bioinformatics | volume = 27 | issue = 4| pages = 592–593 | doi = 10.1093/bioinformatics/btq706 | pmid=21169378 | pmc=3035803}}</ref>
| phangorn <ref>{{cite journal | vauthors = Schliep KP | title = phangorn: phylogenetic analysis in R | journal = Bioinformatics | volume = 27 | issue = 4 | pages = 592–3 | date = February 2011 | pmid = 21169378 | pmc = 3035803 | doi = 10.1093/bioinformatics/btq706 }}</ref>
| Phylogenetic analysis in R || ML, MP, distance matrix, bootstrap, phylogentic networks, bootstrap, model selection, SH-test, SOWH-test || Maintainer: K. Schliep
| Phylogenetic analysis in R || ML, MP, distance matrix, bootstrap, phylogentic networks, bootstrap, model selection, SH-test, SOWH-test || Maintainer: K. Schliep
|-
|-
| [[Phybase]] <ref>{{cite journal| author=Liu L., Yu L. | year = 2010 | title = an R package for species tree analysis | journal = Bioinformatics | volume = 26 | issue = 7 | pages = 962–963 | doi = 10.1093/bioinformatics/btq062 | pmid=20156990}}
| [[Phybase]] <ref>{{cite journal | vauthors = Liu L, Yu L | title = Phybase: an R package for species tree analysis | journal = Bioinformatics | volume = 26 | issue = 7 | pages = 962–3 | date = April 2010 | pmid = 20156990 | doi = 10.1093/bioinformatics/btq062 }}
</ref>
</ref>
| an R package for species tree analysis||phylogenetics functions, STAR, NJst, STEAC, maxtree, etc||L. Liu & L. Yu
| an R package for species tree analysis||phylogenetics functions, STAR, NJst, STEAC, maxtree, etc||L. Liu & L. Yu
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| Fast and accurate estimation of phylogenies using maximum likelihood || Maximum likelihood || S. Guindon & O. Gascuel
| Fast and accurate estimation of phylogenies using maximum likelihood || Maximum likelihood || S. Guindon & O. Gascuel
|-
|-
| phyx <ref>{{cite journal | last1 = Brown | first1 = JW | last2 = Walker | first2 = JF | last3 = Smith | first3 = SA | year = 2017 | title = Phyx: phylogenetic tools for unix | journal = Bioinformatics | volume = 33 | issue = 12| pages = 1886-1888 | doi = 10.1093/bioinformatics/btx063 | pmid=28174903 | pmc=5870855}}</ref>
| phyx <ref>{{cite journal | vauthors = Brown JW, Walker JF, Smith SA | title = Phyx: phylogenetic tools for unix | journal = Bioinformatics | volume = 33 | issue = 12 | pages = 1886–1888 | date = June 2017 | pmid = 28174903 | pmc = 5870855 | doi = 10.1093/bioinformatics/btx063 }}</ref>
| Unix/GNU/Linux command line phylogenetic tools || Explore, manipulate, analyze, and simulate phylogenetic objects (alignments, trees, and MCMC logs) || J.W. Brown, J.F. Walker, and S.A. Smith
| Unix/GNU/Linux command line phylogenetic tools || Explore, manipulate, analyze, and simulate phylogenetic objects (alignments, trees, and MCMC logs) || J.W. Brown, J.F. Walker, and S.A. Smith
|-
|-
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| Randomized Axelerated Maximum Likelihood for High Performance Computing (nucleotides and aminoacids) || Maximum likelihood, simple Maximum parsimony || A. Stamatakis
| Randomized Axelerated Maximum Likelihood for High Performance Computing (nucleotides and aminoacids) || Maximum likelihood, simple Maximum parsimony || A. Stamatakis
|-
|-
| RAxML-NG <ref>{{cite journal | vauthors=Kozlov AM, Darriba D, Flouri T, Morel B, Stamatakis A | title=RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference | doi = 10.1093/bioinformatics/btz305 }}</ref>
| RAxML-NG <ref>{{cite journal | vauthors = Kozlov AM, Darriba D, Flouri T, Morel B, Stamatakis A | title = RAxML-NG: A fast, scalable, and user-friendly tool for maximum likelihood phylogenetic inference | journal = Bioinformatics | date = May 2019 | pmid = 31070718 | doi = 10.1093/bioinformatics/btz305 }}</ref>
| Randomized Axelerated Maximum Likelihood for High Performance Computing (nucleotides and aminoacids) Next Generation|| Maximum likelihood, simple Maximum parsimony || A. Kozlov, D. Darriba, T. Flouri, B. Morel, A. Stamatakis
| Randomized Axelerated Maximum Likelihood for High Performance Computing (nucleotides and aminoacids) Next Generation|| Maximum likelihood, simple Maximum parsimony || A. Kozlov, D. Darriba, T. Flouri, B. Morel, A. Stamatakis
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|-
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| Tree reconstruction using the combined strengths of maximum-likelihood (accuracy) and neighbor-joining (speed). SEMPHY has become outdated. The authors now refer users to RAxML, which is superior in both accuracy and speed. || A hybrid maximum-likelihood / neighbor-joining method || M. Ninio, E. Privman, T. Pupko, N. Friedman
| Tree reconstruction using the combined strengths of maximum-likelihood (accuracy) and neighbor-joining (speed). SEMPHY has become outdated. The authors now refer users to RAxML, which is superior in both accuracy and speed. || A hybrid maximum-likelihood / neighbor-joining method || M. Ninio, E. Privman, T. Pupko, N. Friedman
|-
|-
| sowhat <ref name="pmid26231182">{{cite journal|vauthors=Church SH, Ryan JF, Dunn CW | title=Automation and Evaluation of the SOWH Test with SOWHAT. | journal=Syst Biol | year= 2015 | volume= 64 | issue= 6 | pages= 1048–58 | pmid=26231182 | doi=10.1093/sysbio/syv055 | pmc=4604836 }}</ref>|| Hypothesis testing || SOWH test || Church, Ryan, and Dunn
| sowhat <ref name="pmid26231182">{{cite journal | vauthors = Church SH, Ryan JF, Dunn CW | title = Automation and Evaluation of the SOWH Test with SOWHAT | journal = Systematic Biology | volume = 64 | issue = 6 | pages = 1048–58 | date = November 2015 | pmid = 26231182 | pmc = 4604836 | doi = 10.1093/sysbio/syv055 }}</ref>|| Hypothesis testing || SOWH test || Church, Ryan, and Dunn
|-
|-
| [[SplitsTree]] <ref>{{cite journal | last1 = Huson | first1 = DH | last2 = Bryant | first2 = D | date = Feb 2006 | title = Application of phylogenetic networks in evolutionary studies | url = | journal = Mol Biol Evol | volume = 23 | issue = 2| pages = 254–67 | pmid = 16221896 | doi=10.1093/molbev/msj030}}</ref>
| [[SplitsTree]] <ref>{{cite journal | vauthors = Huson DH, Bryant D | title = Application of phylogenetic networks in evolutionary studies | journal = Molecular Biology and Evolution | volume = 23 | issue = 2 | pages = 254–67 | date = February 2006 | pmid = 16221896 | doi = 10.1093/molbev/msj030 }}</ref>
| Tree and network program || Computation, visualization and exploration of phylogenetic trees and networks || D.H. Huson and D. Bryant
| Tree and network program || Computation, visualization and exploration of phylogenetic trees and networks || D.H. Huson and D. Bryant
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|-
|-
| [[Treefinder]]
| [[Treefinder]]
| Fast ML tree reconstruction, bootstrap analysis, model selection, hypothesis testing, tree calibration, tree manipulation and visualization, computation of sitewise rates, sequence simulation, many models of evolution (DNA, protein, rRNA, mixed protein, user-definable), GUI and scripting language || Maximum likelihood, distances, and others || G. Jobb
| Fast ML tree reconstruction, bootstrap analysis, model selection, hypothesis testing, tree calibration, tree manipulation and visualization, computation of sitewise rates, sequence simulation, many models of evolution (DNA, protein, rRNA, mixed protein, user-definable), GUI and scripting language || Maximum likelihood, distances, and others || Jobb G, von Haeseler A, Strimmer K<ref name="pmid15222900">{{cite journal | vauthors = Jobb G, von Haeseler A, Strimmer K | title = TREEFINDER: a powerful graphical analysis environment for molecular phylogenetics | journal = BMC Evolutionary Biology | volume = 4 | issue = | pages = 18 | date = June 2004 | pmid = 15222900 | pmc = 459214 | doi = 10.1186/1471-2148-4-18 }}</ref>
|-
|-
| [[Tree puzzle|TREE-PUZZLE]]
| [[Tree puzzle|TREE-PUZZLE]]
| Maximum likelihood and statistical analysis || Maximum likelihood || Makarenkov <ref name="pmid11448889">{{cite journal | vauthors = Makarenkov V | title = T-REX: reconstructing and visualizing phylogenetic trees and reticulation networks | journal = Bioinformatics (Oxford, England) | volume = 17 | issue = 7 | pages = 664–8 | date = July 2001 | pmid = 11448889 | doi = 10.1093/bioinformatics/17.7.664 }}</ref><ref name="pmid11934758">{{cite journal | vauthors = Schmidt HA, Strimmer K, Vingron M, von Haeseler A | title = TREE-PUZZLE: maximum likelihood phylogenetic analysis using quartets and parallel computing | journal = Bioinformatics (Oxford, England) | volume = 18 | issue = 3 | pages = 502–4 | date = March 2002 | pmid = 11934758 | doi = 10.1093/bioinformatics/18.3.502 }}</ref>
| Maximum likelihood and statistical analysis || Maximum likelihood || H.A. Schmidt, K. Strimmer, A. von Haeseler
|-
|-
| [[T-REX (Webserver)]]
| [[T-REX (Webserver)]]
| Tree inference and visualization, [[Horizontal gene transfer]] detection, multiple sequence alignment || Distance ([[neighbor joining]]), Parsimony and Maximum likelihood (PhyML, RAxML) tree inference, MUSCLE, MAFFT and ClustalW sequence alignments and related applications || V. Makarenkov, ''et al.''
| Tree inference and visualization, [[Horizontal gene transfer]] detection, multiple sequence alignment || Distance ([[neighbor joining]]), Parsimony and Maximum likelihood (PhyML, RAxML) tree inference, MUSCLE, MAFFT and ClustalW sequence alignments and related applications || Boc A, Diallo AB, Makarenkov V<ref name="pmid22675075">{{cite journal | vauthors = Boc A, Diallo AB, Makarenkov V | title = T-REX: a web server for inferring, validating and visualizing phylogenetic trees and networks | journal = Nucleic Acids Research | volume = 40 | issue = Web Server issue | pages = W573–9 | date = July 2012 | pmid = 22675075 | pmc = 3394261 | doi = 10.1093/nar/gks485 }}</ref>
|-
|-
| [[UGENE]]
| [[UGENE]]
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|}
|}


==See also==
== See also ==
*[[List of phylogenetic tree visualization software]]
*[[List of phylogenetic tree visualization software]]


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<references />
<references />


==External links==
== External links ==
*Complete list of [https://web.archive.org/web/20060719171139/http://bioweb.pasteur.fr/seqanal/phylogeny/intro-uk.html Institut Pasteur] phylogeny webservers
*Complete list of [https://web.archive.org/web/20060719171139/http://bioweb.pasteur.fr/seqanal/phylogeny/intro-uk.html Institut Pasteur] phylogeny webservers
*[http://www.expasy.org/tools/#phylo ExPASy] List of phylogenetics programs
*[http://www.expasy.org/tools/#phylo ExPASy] List of phylogenetics programs

Revision as of 03:44, 13 September 2019

This list of phylogenetics software is a compilation of computational phylogenetics software used to produce phylogenetic trees. Such tools are commonly used in comparative genomics, cladistics, and bioinformatics. Methods for estimating phylogenies include neighbor-joining, maximum parsimony (also simply referred to as parsimony), UPGMA, Bayesian phylogenetic inference, maximum likelihood and distance matrix methods.

Name Description Methods Author
AncesTree[1] An algorithm for clonal tree reconstruction from multi-sample cancer sequencing data. Maximum Likelihood, Integer Linear Programming (ILP) M. El-Kebir, L. Oesper, H. Acheson-Field, and B. J. Raphael
AliGROOVE [2] Visualisation of heterogeneous sequence divergence within multiple sequence alignments and detection of inflated branch support Identification of single taxa which show predominately randomized sequence similarity in comparison with other taxa in a multiple sequence alignment and evaluation of the reliability of node support in a given topology Patrick Kück, Sandra A Meid, Christian Groß, Bernhard Misof, Johann Wolfgang Wägele.
ape R-Project package for analysis of phylogenetics and evolution Provides a large variety of phylogenetics functions Maintainer: Emmanuel Paradis
Armadillo Workflow Platform Workflow platform dedicated to phylogenetic and general bioinformatic analysis Inference of phylogenetic trees using Distance, Maximum Likelihood, Maximum Parsimony, Bayesian methods and related workflows. E. Lord, M. Leclercq, A. Boc, A.B. Diallo and V. Makarenkov
BAli-Phy Simultaneous Bayesian inference of alignment and phylogeny Bayesian inference, alignment as well as tree search. M.A. Suchard, B. D. Redelings
BATWING Bayesian Analysis of Trees With Internal Node Generation Bayesian inference, demographic history, population splits I. J. Wilson, Weale, D.Balding
BayesPhylogenies Bayesian inference of trees using Markov chain Monte Carlo methods Bayesian inference, multiple models, mixture model (auto-partitioning) M. Pagel, A. Meade
BayesTraits Analyses trait evolution among groups of species for which a phylogeny or sample of phylogenies is available Trait analysis M. Pagel, A. Meade
BEAST Bayesian Evolutionary Analysis Sampling Trees Bayesian inference, relaxed molecular clock, demographic history A. J. Drummond, A. Rambaut & M. A. Suchard
BioNumerics Universal platform for the management, storage and analysis of all types of biological data, including tree and network inference of sequence data. Neighbor-joining, maximum parsimony, UPGMA, maximum likelihood, distance matrix methods,... Calculation of the reliability of trees/branches using bootstrapping, permutation resampling or error resampling. L. Vauterin & P. Vauterin.
Bosque Integrated graphical software to perform phylogenetic analyses, from the importing of sequences to the plotting and graphical edition of trees and alignments Distance and maximum likelihood methods (through phyml, phylip & tree-puzzle) S. Ramirez, E. Rodriguez.
BUCKy Bayesian concordance of gene trees Bayesian concordance using modified greedy consensus of unrooted quartets C. Ané, B. Larget, D.A. Baum, S.D. Smith, A. Rokas and B. Larget, S.K. Kotha, C.N. Dewey, C. Ané
Canopy[3] Assessing intratumor heterogeneity and tracking longitudinal and spatial clonal evolutionary history by next-generation sequencing Maximum Likelihood, Markov Chain Monte Carlo (MCMC) methods Y. Jiang, Y. Qiu, A. J. Minn, and N. R. Zhang
CITUP Clonality Inference in Tumors Using Phylogeny Exhaustive search, Quadratic Integer Programming (QIP) S. Malikic, A.W. McPherson, N. Donmez, C.S. Sahinalp
ClustalW Progressive multiple sequence alignment Distance matrix/nearest neighbor Thompson et al.
Dendroscope [4] Tool for visualizing rooted trees and calculating rooted networks Rooted trees, tanglegrams, consensus networks, hybridization networks Daniel Huson et al.
EzEditor [5] EzEditor is a java-based sequence alignment editor for rRNA and protein coding genes. It allows manipulation of both DNA and protein sequence alignments for phylogenetic analysis. Neighbor Joining Jeon, Y.S. et al.
fastDNAml Optimized maximum likelihood (nucleotides only) Maximum likelihood G.J. Olsen
FastTree 2[6] Fast phylogenetic inference for alignments with up to hundreds of thousands of sequences Approximate maximum likelihood M.N. Price, P.S. Dehal, A.P. Arkin
fitmodel Fits branch-site codon models without the need of prior knowledge of clades undergoing positive selection Maximum likelihood S. Guindon
Geneious Geneious provides genome and proteome research tools Neighbor-joining, UPGMA, MrBayes plugin, PHYML plugin, RAxML plugin, FastTree plugin, GARLi plugin, PAUP* Plugin A. J. Drummond,M.Suchard,V.Lefort et al.
HyPhy Hypothesis testing using phylogenies Maximum likelihood, neighbor-joining, clustering techniques, distance matrices S.L. Kosakovsky Pond, S.D.W. Frost, S.V. Muse
IQPNNI Iterative ML treesearch with stopping rule Maximum likelihood, neighbor-joining L.S. Vinh, A. von Haeseler, B.Q. Minh
IQ-TREE[7] An efficient phylogenomic software by maximum likelihood, as successor of IQPNNI and TREE-PUZZLE. Maximum likelihood, model selection, partitioning scheme finding, AIC, AICc, BIC, ultrafast bootstrapping,[8] branch tests, tree topology tests, likelihood mapping Lam-Tung Nguyen, O. Chernomor, H.A. Schmidt, A. von Haeseler, B.Q. Minh
jModelTest 2 A high-performance computing program to carry out statistical selection of best-fit models of nucleotide substitution Maximum likelihood, AIC, BIC, DT, hLTR, dLTR D. Darriba, GL. Taboada, R. Doallo, D. Posada
LisBeth Three-item analysis for phylogenetics and biogeography Three-item analysis J. Ducasse, N. Cao & R. Zaragüeta-Bagils
MEGA Molecular Evolutionary Genetics Analysis Distance, Parsimony and Maximum Composite Likelihood Methods Tamura K, Dudley J, Nei M & Kumar S
Mesquite Mesquite is software for evolutionary biology, designed to help biologists analyze comparative data about organisms. Its emphasis is on phylogenetic analysis, but some of its modules concern comparative analyses or population genetics, while others do non-phylogenetic multivariate analysis. It can also be used to build timetrees incorporating a geological timescale, with some optional modules. Maximum parsimony, distance matrix, maximum likelihood Wayne Maddison and D. R. Maddison
MetaPIGA2 Maximum likelihood phylogeny inference multi-core program for DNA and protein sequences, and morphological data. Analyses can be performed using an extensive and user-friendly graphical interface or by using batch files. It also implements tree visualization tools, ancestral sequences, and automated selection of best substitution model and parameters. Maximum likelihood, stochastic heuristics (genetic algorithm, metapopulation genetic algorithm, simulated annealing, etc.), discrete Gamma rate heterogeneity, ancestral state reconstruction, model testing. Michel C. Milinkovitch and Raphaël Helaers
Modelgenerator Model selection (protein or nucleotide) Maximum likelihood Thomas Keane
MOLPHY Molecular phylogenetics (protein or nucleotide) Maximum likelihood J. Adachi and M. Hasegawa
MrBayes Posterior probability estimation Bayesian inference J. Huelsenbeck, et al.
Network Free Phylogenetic Network Software Median Joining, Reduced Median, Steiner Network A. Roehl
Nona Phylogenetic inference Maximum parsimony, implied weighting, ratchet P. Goloboff
PAML Phylogenetic analysis by maximum likelihood Maximum likelihood and Bayesian inference Z. Yang
ParaPhylo[9] Computation of gene and species trees based on event-relations (orthology, paralogy) Cograph-Editing and Triple-Inference Hellmuth [9]
PartitionFinder Combined selection of models of molecular evolution and partitioning schemes for DNA and protein alignments. Maximum likelihood, AIC, AICc, BIC R. Lanfear, B Calcott, SYW Ho, S Guindon
PAUP* Phylogenetic analysis using parsimony (*and other methods) Maximum parsimony, distance matrix, maximum likelihood D. Swofford
phangorn [10] Phylogenetic analysis in R ML, MP, distance matrix, bootstrap, phylogentic networks, bootstrap, model selection, SH-test, SOWH-test Maintainer: K. Schliep
Phybase [11] an R package for species tree analysis phylogenetics functions, STAR, NJst, STEAC, maxtree, etc L. Liu & L. Yu
phyclust Phylogenetic Clustering (Phyloclustering) Maximum likelihood of Finite Mixture Modes Wei-Chen Chen
PHYLIP Phylogenetic inference package Maximum parsimony, distance matrix, maximum likelihood J. Felsenstein
phyloT Generates phylogenetic trees in various formats, based on NCBI taxonomy none I. Letunic
PhyloQuart Quartet implementation (uses sequences or distances) Quartet method V. Berry
PhyloWGS Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors MCMC A. G. Deshwar, S. Vembu, C. K. Yung, G. H. Jang, L. Stein, and Q. Morris
PhyML Fast and accurate estimation of phylogenies using maximum likelihood Maximum likelihood S. Guindon & O. Gascuel
phyx [12] Unix/GNU/Linux command line phylogenetic tools Explore, manipulate, analyze, and simulate phylogenetic objects (alignments, trees, and MCMC logs) J.W. Brown, J.F. Walker, and S.A. Smith
POY A phylogenetic analysis program that supports multiple kinds of data and can perform alignment and phylogeny inference. A variety of heuristic algorithms have been developed for this purpose. Maximum parsimony, Maximum likelihood, Chromosome rearrangement, discreet characters, continuous characters, Alignment A. Varon, N. Lucaroni, L. Hong, W. Wheeler
ProtTest 3 A high-performance computing program for selecting the model of protein evolution that best fits a given set of aligned sequences Maximum likelihood, AIC, BIC, DT D. Darriba, GL. Taboada, R. Doallo, D. Posada
PyCogent Software library for genomic biology Simulating sequences, alignment, controlling third party applications, workflows, querying databases, generating graphics and phylogenetic trees Knight et al.
QuickTree Tree construction optimized for efficiency Neighbor-joining K. Howe, A. Bateman, R. Durbin
RAxML-HPC Randomized Axelerated Maximum Likelihood for High Performance Computing (nucleotides and aminoacids) Maximum likelihood, simple Maximum parsimony A. Stamatakis
RAxML-NG [13] Randomized Axelerated Maximum Likelihood for High Performance Computing (nucleotides and aminoacids) Next Generation Maximum likelihood, simple Maximum parsimony A. Kozlov, D. Darriba, T. Flouri, B. Morel, A. Stamatakis
SEMPHY Tree reconstruction using the combined strengths of maximum-likelihood (accuracy) and neighbor-joining (speed). SEMPHY has become outdated. The authors now refer users to RAxML, which is superior in both accuracy and speed. A hybrid maximum-likelihood / neighbor-joining method M. Ninio, E. Privman, T. Pupko, N. Friedman
sowhat [14] Hypothesis testing SOWH test Church, Ryan, and Dunn
SplitsTree [15] Tree and network program Computation, visualization and exploration of phylogenetic trees and networks D.H. Huson and D. Bryant
TNT Phylogenetic inference Parsimony, weighting, ratchet, tree drift, tree fusing, sectorial searches P. Goloboff et al.
TOPALi Phylogenetic inference Phylogenetic model selection, Bayesian analysis and Maximum Likelihood phylogenetic tree estimation, detection of sites under positive selection, and recombination breakpoint location analysis Iain Milne, Dominik Lindner et al.
TreeGen Tree construction given precomputed distance data Distance matrix ETH Zurich
TreeAlign Efficient hybrid method Distance matrix and approximate parsimony J. Hein
Treefinder Fast ML tree reconstruction, bootstrap analysis, model selection, hypothesis testing, tree calibration, tree manipulation and visualization, computation of sitewise rates, sequence simulation, many models of evolution (DNA, protein, rRNA, mixed protein, user-definable), GUI and scripting language Maximum likelihood, distances, and others Jobb G, von Haeseler A, Strimmer K[16]
TREE-PUZZLE Maximum likelihood and statistical analysis Maximum likelihood Makarenkov [17][18]
T-REX (Webserver) Tree inference and visualization, Horizontal gene transfer detection, multiple sequence alignment Distance (neighbor joining), Parsimony and Maximum likelihood (PhyML, RAxML) tree inference, MUSCLE, MAFFT and ClustalW sequence alignments and related applications Boc A, Diallo AB, Makarenkov V[19]
UGENE Fast and free multiplatform tree editor based Phylip 3.6 package algorithms Unipro
Winclada GUI and tree editor (requires Nona) Maximum parsimony, ratchet K. Nixon
Xrate Phylo-grammar engine Rate estimation, branch length estimation, alignment annotation I. Holmes

See also

References

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External links

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