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每日翻译20190714

已有 402 次阅读 2019-7-14 07:11 |个人分类:翻译作品|系统分类:科研笔记| BEAST, 多基因, 多重数据, 联合, 分割

#编者信息

熊荣川

明湖实验室

xiongrongchuan@126.com

http://blog.sciencenet.cn/u/Bearjazz

Heterogeneous Data

Multiple data partitions may reflect   separate loci for simultaneous inference of genealogies and species trees   (Heled and Drummond 2010) and stochastic ancestral recombination graph   reconstruction (Bloomquist and Suchard 2010) or the growing wealth of   nonsequence data and their respective substitution models. These latter data   and models include microsatellite markers (Wu and Drummond 2011), phenotypic traits under a   multistate stochastic Dollo process (Alekseyenko et al. 2008), discretized geographic   diffusion (Lemey et al. 2009), and multivariate continuous relaxed random   walks (Lemey et al. 2010). We also ease the use of a growing number of tree   prior specifcations. These include the extended Bayesian skyline model (Heled   and Drummond 2008) for multilocus data, the flexible Gaussian Markov random field   skyride model (Minin et al. 2008), and birth–death models of speciation (Stadler   2010) .

异质数据

多重数据分区可能反映了使用不同的基因座同时推断系谱和物种树(Heled and Drummond 2010)和随机祖先重组图重建(Bloomquist   and Suchard 2010)或日益丰富的非序列数据及其自身的替代模型。后一种数据和模型包括微卫星标记(Wu and Drummond 2011),多状态随机Dollo过程下的表型特征(Alekseyenko et al. 2008),离散地理扩散(Lemey et   al. 2009),以及多变量连续松弛随机行走(Lemey et al. 2010)。我们还可以轻松使用越来越多的系统发育树的先验设置。包括针对多基因片段数据的扩展贝叶斯天际线模型(Heled and Drummond 2008),弹性高斯马尔可夫随机场天桥模型(Minin   et al. 2008),以及物种形成的出生-死亡模型(Stadler 2010)。

Drummond A J , Suchard M A , Xie D , et   al. Bayesian Phylogenetics with BEAUti and the BEAST 1.7[J]. Molecular   Biology and Evolution, 2012, 29(8):1969-1973.




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