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timetrees: a collection of time-stamped phylogenies

This package compiles a series of time-stamped phylogenies, to be shared during Hackout 3. Data can be provided as R objects (loaded automatically when loading the package), text files distributed alongside the package (e.g. Newick strings), or functions generating a dataset.

The following R datasets are currently available:

if(!require(printr)) warning("printr is not installed; displaying the content of 'data(...)' may not work")
data(package="timetrees")

Installing the package

To install the devel version of the package, type:

devtools::install_github("Hackout3/timetrees")

Note that this requires the package devtools installed.

Add your own data!

How to add data?

We will try to create a better repository and data submission system at a later stage. The purpose of the current package is only to share examplar datasets during the hackathon. Acceptable forms are: - as a .RData files in the data/ folder (recommended) - as a text file in the inst/ folder (e.g. as a Newick string) - as a function loading/assembling/simulating a dataset

Naming Conventions

We use the lower cases and dots to separate words for the files and dataset names, so that for a RData object, a new dataset woud look like: `my.new.data.RData'. Try using informative names, typically using the disease first. Whenever available, order fields as: 1. disease: mandatory 2. location: optional 3. year: optional 4. sim: mandatory if this is a simulated dataset; otherwise data is assume to be an actual outbreak 5. other: (any other relevant information)

Datasets are in the form of a list with three elements: 1. tree: phylogeny in phylo format 2. data: metadata as a dataframe, comprising of the tip labels in the tree (tiplabel) and sampling times (year, month and date as separate columns), plus any additional information. 3. aln: a multiple sequence alignment in DNAbin matrix format.

Contributors (by alphabetic order):

Maintainer (temporary): Simon Frost (sdwfrost@gmail.com)



Hackout3/timetrees documentation built on May 6, 2019, 10:53 p.m.