DendroPy: a Python']Python library for phylogenetic computing

被引:1264
作者
Sukumaran, Jeet [1 ]
Holder, Mark T. [1 ]
机构
[1] Univ Kansas, Dept Ecol & Evolutionary Biol, Lawrence, KS 66045 USA
基金
美国国家科学基金会;
关键词
D O I
10.1093/bioinformatics/btq228
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
DendroPy is a cross-platform library for the Python programming language that provides for object-oriented reading, writing, simulation and manipulation of phylogenetic data, with an emphasis on phylogenetic tree operations. DendroPy uses a splits-hash mapping to perform rapid calculations of tree distances, similarities and shape under various metrics. It contains rich simulation routines to generate trees under a number of different phylogenetic and coalescent models. DendroPy's data simulation and manipulation facilities, in conjunction with its support of a broad range of phylogenetic data formats (NEXUS, Newick, PHYLIP, FASTA, NeXML, etc.), allow it to serve a useful role in various phyloinformatics and phylogeographic pipelines.
引用
收藏
页码:1569 / 1571
页数:3
相关论文
共 16 条
[1]  
[Anonymous], [No title captured]
[2]   Biopython']python: freely available Python']Python tools for computational molecular biology and bioinformatics [J].
Cock, Peter J. A. ;
Antao, Tiago ;
Chang, Jeffrey T. ;
Chapman, Brad A. ;
Cox, Cymon J. ;
Dalke, Andrew ;
Friedberg, Iddo ;
Hamelryck, Thomas ;
Kauff, Frank ;
Wilczynski, Bartek ;
de Hoon, Michiel J. L. .
BIOINFORMATICS, 2009, 25 (11) :1422-1423
[3]  
Computing R.F. f. s., 2020, R: a language and environment for statistical computing
[4]  
Felsenstein J., 2003, Inferring Phylogenies
[5]  
FOSTER P, 2010, P4 PYTHON PACKAGE PH
[6]  
Harmon L., 2009, Geiger: Analysis of evolutionary diversification, DOI DOI 10.1186/1471-2105-11-24
[7]   ETE: a python']python Environment for Tree Exploration [J].
Huerta-Cepas, Jaime ;
Dopazo, Joaquin ;
Gabaldon, Toni .
BMC BIOINFORMATICS, 2010, 11
[8]  
KINGMAN J. F. C., 1982, STOCH PROC APPL, V13, P235, DOI [10.1016/0304-4149(82)90011-4, DOI 10.1016/0304-4149(82)90011-4, 10.1016/0304- 4149(82)90011-4]
[9]   PyCogent: a toolkit for making sense from sequence [J].
Knight, Rob ;
Maxwell, Peter ;
Birmingham, Amanda ;
Carnes, Jason ;
Caporaso, J. Gregory ;
Easton, Brett C. ;
Eaton, Michael ;
Hamady, Micah ;
Lindsay, Helen ;
Liu, Zongzhi ;
Lozupone, Catherine ;
McDonald, Daniel ;
Robeson, Michael ;
Sammut, Raymond ;
Smit, Sandra ;
Wakefield, Matthew J. ;
Widmann, Jeremy ;
Wikman, Shandy ;
Wilson, Stephanie ;
Ying, Hua ;
Huttley, Gavin A. .
GENOME BIOLOGY, 2007, 8 (08)
[10]   ON INFORMATION AND SUFFICIENCY [J].
KULLBACK, S ;
LEIBLER, RA .
ANNALS OF MATHEMATICAL STATISTICS, 1951, 22 (01) :79-86