SERAPHIM 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 visualise dispersal history. Most importantly, SERAPHIM enables users to study the impact of customised 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 randomisation 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@rega.kuleuven.be, oliver.pybus@zoo.ox.ac.uk SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Original publication

DOI

10.1093/bioinformatics/btw384

Type

Journal article

Journal

Bioinformatics (Oxford, England)

Publication Date

22/06/2016

Addresses

Rega Institute for Medical Research, Clinical and Epidemiological Virology, Department of Microbiology and Immunology, KU Leuven-University of Leuven, Minderbroedersstaat 10, 3000 Leuven, Belgium. simon.dellicour@rega.kuleuven.be.