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Subcommand: random placements
Create a set of random phylogenetic placements on a given reference tree.
Usage: gappa simulate random-placements [options]
Input | |
---|---|
--reference-tree |
Required. TEXT File containing a reference tree in newick format. |
--pquery-count |
Required. UINT=0 Number of pqueries to create. |
--subtree |
INT=-1 If given, only generate random placements in one of the subtrees of the root node. For example, if the root is a trifurcation, values 0-2 are allowed. |
Output | |
--out-dir |
TEXT=. Directory to write output files to. |
--file-prefix |
TEXT File prefix for output files. Most gappa commands use the command name as the base name for file output. This option amends the base name, to distinguish runs with different data. |
--file-suffix |
TEXT File suffix for output files. Most gappa commands use the command name as the base name for file output. This option amends the base name, to distinguish runs with different data. |
--compress |
FLAG If set, compress the output files using gzip. Output file extensions are automatically extended by .gz . |
Global Options | |
--allow-file-overwriting |
FLAG Allow to overwrite existing output files instead of aborting the command. |
--verbose |
FLAG Produce more verbose output. |
--threads |
UINT Number of threads to use for calculations. |
--log-file |
TEXT Write all output to a log file, in addition to standard output to the terminal. |
The command creates a set of random phylogenetic placmeents on a given reference tree.
It generates as many pqueries as given by --pquery-count
, named pquery_n
,
with each having a random number of placements on nearby branches of a randomly chosen edge.
The output file is named random-placements.jplace
, potentially using the --file-prefix
and
--file-suffix
if provided.
When using this method, please do not forget to cite
Lucas Czech, Pierre Barbera, Alexandros Stamatakis. Genesis and Gappa: Processing, Analyzing and Visualizing Phylogenetic (Placement) Data. Bioinformatics, 2020. doi:10.1093/bioinformatics/btaa070
Module analyze
- correlation
- dispersion
- edgepca
- imbalance-kmeans
- krd
- phylogenetic-kmeans
- placement-factorization
- squash
Module edit
Module examine
Module prepare
Module simulate
Module tools