GLOOME: gain loss mapping engine

被引:83
作者
Cohen, Ofir [1 ]
Ashkenazy, Haim [1 ]
Belinky, Frida [2 ]
Huchon, Dorothee [2 ,3 ]
Pupko, Tal [1 ,3 ]
机构
[1] Tel Aviv Univ, Dept Cell Res & Immunol, IL-69978 Tel Aviv, Israel
[2] Tel Aviv Univ, Dept Zool, IL-69978 Tel Aviv, Israel
[3] Natl Evolutionary Synth Ctr, Durham, NC 27705 USA
基金
以色列科学基金会;
关键词
PHYLOGENETIC INFERENCE; MAXIMUM-LIKELIHOOD; PARSIMONY; EVOLUTION; SITES; PATTERNS; MODELS; GENES; APES;
D O I
10.1093/bioinformatics/btq549
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The evolutionary analysis of presence and absence profiles ( phyletic patterns) is widely used in biology. It is assumed that the observed phyletic pattern is the result of gain and loss dynamics along a phylogenetic tree. Examples of characters that are represented by phyletic patterns include restriction sites, gene families, introns and indels, to name a few. Here, we present a user-friendly web server that accurately infers branch-specific and site-specific gain and loss events. The novel inference methodology is based on a stochastic mapping approach utilizing models that reliably capture the underlying evolutionary processes. A variety of features are available including the ability to analyze the data with various evolutionary models, to infer gain and loss events using either stochastic mapping or maximum parsimony, and to estimate gain and loss rates for each character analyzed.
引用
收藏
页码:2914 / 2915
页数:2
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