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read_tree_greengenes

Read GreenGenes tree released in annotated newick format


Description

In principal, this is a standard newick format, that can be imported into R using read_tree, which in-turn utilizes read.tree. However, read.tree has failed to import recent (October 2012 and later) releases of the GreenGenes tree, and this problem has been traced to the additional annotations added to some internal nodes that specify taxonomic classification between single-quotes. To solve this problem and create a clear container for fixing future problems with the format of GreenGenes-released trees, this function is available in phyloseq and exported for users. It is also referenced in the documentation of the import functions for QIIME legacy and BIOM format importers – import_qiime and import_biom, respectively. However, since the precise format of the tree is not restricted to GreenGenes trees by QIIME or for the biom-format, this function is not called automatically by those aforementioned import functions. If your tree is formatted like, or is one of, the official GreenGenes release trees, then you should use this function and provide its output to your relevant import function.

Usage

read_tree_greengenes(treefile)

Arguments

treefile

(Required). A character string implying a file connection (like a path or URL), or an actual connection. Must be a Newick–formatted tree released by GreenGenes in October 2012 or later. The similarity threshold of the OTUs should not matter, except that it should match your OTU table.

Value

A tree, represented as a phylo object.

Examples

# Read the May 2013, 73% similarity official tree,
# included as extra data in phyloseq.
treefile = system.file("extdata", "gg13-5-73.tree.gz", package="phyloseq")
x = read_tree_greengenes(treefile)
x
class(x)
y = read_tree(treefile)
y
class(y)
## Not run, causes an error:
# library("ape")
# read.tree(treefile)

phyloseq

Handling and analysis of high-throughput microbiome census data

v1.34.0
AGPL-3
Authors
Paul J. McMurdie <joey711@gmail.com>, Susan Holmes <susan@stat.stanford.edu>, with contributions from Gregory Jordan and Scott Chamberlain
Initial release
2019-04-23

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