Reference

run_abundance.py(1)

helper script to estimate the abundance at a given taxonomic level

NAME

run_abundance.py - helper script to estimate the abundance at a given taxonomic level

DESCRIPTION

usage: run_abundance.py [-h] [-v] [-A N] [-P N] [-F N] [--distance DISTANCE]

[-M DIAMETER] [-S DECOMP] [-p DIR] [-o OUTPUT]

[-d OUTPUT_DIR] [-t TREE] [-r RAXML] [-a ALIGN] [-f FRAG] [-m MOLECULE] [-x N] [-cp CHCK_FILE] [-cpi N] [-seed N] [-at N] [-pt N] [-g N] [-b N] [-bin N] [-D] [-C N] [-G GENES]

This script runs the SEPP algorithm on an input tree, alignment, fragment file, and RAxML info file.

optional arguments:

-h, --help

show this help message and exit

-v, --version

show program's version number and exit

DECOMPOSITION OPTIONS:

These options determine the alignment decomposition size and taxon insertion size. If None is given, then the default is to align/place at 10% of total taxa. The alignment decomosition size must be less than the taxon insertion size.

-A N, --alignmentSize N

max alignment subset size of N [default: 10% of the total number of taxa or the placement subset size if given]

-P N, --placementSize N

max placement subset size of N [default: 10% of the total number of taxa or the alignment length (whichever bigger)]

-F N, --fragmentChunkSize N

maximum fragment chunk size of N. Helps controlling memory. [default: 20000]

--distance DISTANCE

minimum p-distance before stopping the decomposition[default: 1]

-M DIAMETER, --diameter DIAMETER

maximum tree diameter before stopping the decomposition[default: None]

-S DECOMP, --decomp_strategy DECOMP

decomposition strategy [default: using tree branch length]

OUTPUT OPTIONS:

These options control output.

-p DIR, --tempdir DIR

Tempfile files will be written to DIR. Full-path required. [default: /tmp/sepp]

-o OUTPUT, --output OUTPUT

output files with prefix OUTPUT. [default: output]

-d OUTPUT_DIR, --outdir OUTPUT_DIR

output to OUTPUT_DIR directory. full-path required. [default: .]

INPUT OPTIONS:

These options control input. To run SEPP the following is required. A backbone tree (in newick format), a RAxML_info file (this is the file generated by RAxML during estimation of the backbone tree. Pplacer uses this info file to set model parameters), a backbone alignment file (in fasta format), and a fasta file including fragments. The input sequences are assumed to be DNA unless specified otherwise.

-t TREE, --tree TREE

Input tree file (newick format) [default: None]

-r RAXML, --raxml RAXML

RAxML_info file including model parameters, generated by RAxML.[default: None]

-a ALIGN, --alignment ALIGN

Aligned fasta file [default: None]

-f FRAG, --fragment FRAG

fragment file [default: None]

-m MOLECULE, --molecule MOLECULE

Molecule type of sequences. Can be amino, dna, or rna [default: dna]

OTHER OPTIONS:

These options control how SEPP is run

-x N, --cpu N

Use N cpus [default: number of cpus available on the machine]

-cp CHCK_FILE, --checkpoint CHCK_FILE

checkpoint file [default: no checkpointing]

-cpi N, --interval N

Interval (in seconds) between checkpoint writes. Has effect only with -cp provided. [default: 3600]

-seed N, --randomseed N

random seed number. [default: 297834]

TIPP OPTIONS:

These arguments set settings specific to TIPP

-at N, --alignmentThreshold N

Enough alignment subsets are selected to reach a commulative probability of N. This should be a number between 0 and 1 [default: 0.95]

-pt N, --placementThreshold N

Enough placements are selected to reach a commulative probability of N. This should be a number between 0 and 1 [default: 0.95]

-g N, --gene N

Classify on only the specified gene.

-b N, --blast_file N

Blast file with fragments already binned.

-bin N, --bin_using N

Tool for binning

-D, --dist

Treat fragments as distribution

-C N, --cutoff N

Placement probability requirement to count toward the distribution. This should be a number between 0 and 1 [default: 0.0]

-G GENES, --genes GENES

Use markers or cogs genes [default: markers]

SEE ALSO

run_sepp.py(1), run_tipp.py(1),