Dellicour Simon, Rose Rebecca, Faria Nuno R, Lemey Philippe, Pybus Oliver G
Department of Microbiology and Immunology, Rega Institute for Medical Research, Clinical and Epidemiological Virology, KU Leuven-University of Leuven, Minderbroedersstaat 10, Leuven 3000, Belgium.
BioInfoExperts LLC, Norfolk, Virginia, USA, 23518.
Bioinformatics. 2016 Oct 15;32(20):3204-3206. doi: 10.1093/bioinformatics/btw384. Epub 2016 Jun 22.
SERAPHIM ("Studying Environmental Rasters and PHylogenetically Informed Movements") is a suite of computational methods developed to study phylogenetic reconstructions of spatial movement in an environmental context. SERAPHIM extracts the spatio-temporal information contained in estimated phylogenetic trees and uses this information to calculate summary statistics of spatial spread and to visualize dispersal history. Most importantly, SERAPHIM enables users to study the impact of customized environmental variables on the spread of the study organism. Specifically, given an environmental raster, SERAPHIM computes environmental "weights" for each phylogeny branch, which represent the degree to which the environmental variable impedes (or facilitates) lineage movement. Correlations between movement duration and these environmental weights are then assessed, and the statistical significances of these correlations are evaluated using null distributions generated by a randomization procedure. SERAPHIM can be applied to any phylogeny whose nodes are annotated with spatial and temporal information. At present, such phylogenies are most often found in the field of emerging infectious diseases, but will become increasingly common in other biological disciplines as population genomic data grows.
SERAPHIM 1.0 is freely available from http://evolve.zoo.ox.ac.uk/ R package, source code, example files, tutorials and a manual are also available from this website.
simon.dellicour@kuleuven.be or oliver.pybus@zoo.ox.ac.ukSupplementary information: Supplementary data are available at Bioinformatics online.
SERAPHIM(“研究环境栅格与系统发育信息运动”)是一套为研究环境背景下空间运动的系统发育重建而开发的计算方法。SERAPHIM提取估计系统发育树中包含的时空信息,并利用这些信息计算空间扩散的汇总统计量并可视化扩散历史。最重要的是,SERAPHIM使用户能够研究定制环境变量对研究生物体扩散的影响。具体而言,给定一个环境栅格,SERAPHIM为每个系统发育分支计算环境“权重”,其代表环境变量阻碍(或促进)谱系运动的程度。然后评估运动持续时间与这些环境权重之间的相关性,并使用随机化程序生成的零分布评估这些相关性的统计显著性。SERAPHIM可应用于任何其节点标注有空间和时间信息的系统发育树。目前,此类系统发育树最常见于新发传染病领域,但随着群体基因组数据的增长,在其他生物学学科中也将变得越来越普遍。
SERAPHIM 1.0可从http://evolve.zoo.ox.ac.uk免费获取。该网站还提供R包、源代码、示例文件、教程和手册。
simon.dellicour@kuleuven.be或oliver.pybus@zoo.ox.ac.uk补充信息:补充数据可在《生物信息学》在线获取。