metaphlan2 - METAgenomic PHyLogenetic ANalysis for metagenomic
taxonomic profiling
metaphlan2
--input_type {fastq,fasta,multifasta,multifastq,bowtie2out,sam}
[--mpa_pkl MPA_PKL] [--bowtie2db METAPHLAN_BOWTIE2_DB] [--bt2_ps BowTie2
presets] [--bowtie2_exe BOWTIE2_EXE] [--bowtie2out FILE_NAME] [--no_map]
[--tmp_dir] [--tax_lev TAXONOMIC_LEVEL] [--min_cu_len] [--min_alignment_len]
[--ignore_viruses] [--ignore_eukaryotes] [--ignore_bacteria]
[--ignore_archaea] [--stat_q] [--ignore_markers IGNORE_MARKERS]
[--avoid_disqm] [--stat] [-t ANALYSIS TYPE] [--nreads NUMBER_OF_READS]
[--pres_th PRESENCE_THRESHOLD] [--clade] [--min_ab] [-h] [-o output file]
[--sample_id_key name] [--sample_id value] [-s sam_output_file] [--biom
biom_output] [--mdelim mdelim] [--nproc N] [-v] [INPUT_FILE]
[OUTPUT_FILE]
The basic usage of MetaPhlAn 2 consists in the identification of
the clades (from phyla to species and strains in particular cases) present
in the metagenome obtained from a microbiome sample and their relative
abundance. This correspond to the default analysis type
(--analysis_type rel_ab).
- *
- Profiling a metagenome from raw reads:
- metaphlan2 metagenome.fastq --input_type fastq
- *
- You can take advantage of multiple CPUs and save the intermediate BowTie2
output for re-running
- MetaPhlAn extremely quickly:
metaphlan2 metagenome.fastq --bowtie2out metagenome.bowtie2.bz2
--nproc 5 --input_type fastq
- *
- If you already mapped your metagenome against the marker DB (using a
previous MetaPhlAn run), you can obtain the results in few seconds by
using the previously saved --bowtie2out file and specifying the
input (--input_type bowtie2out):
- metaphlan2 metagenome.bowtie2.bz2 --nproc 5 --input_type
bowtie2out
- *
- You can also provide an externally BowTie2-mapped SAM if you specify this
format with --input_type. Two steps: first apply BowTie2 and then
feed MetaPhlAn2 with the obtained sam:
- bowtie2 --sam-no-hd --sam-no-sq --no-unal
--very-sensitive -S metagenome.sam -x
/usr/share/metaphlan2/db_v20/mpa_v20_m200 -U metagenome.fastq
metaphlan2 metagenome.sam --input_type sam >
profiled_metagenome.txt
- *
- Multiple alternative ways to pass the input are also available:
- cat metagenome.fastq | metaphlan2 --input_type fastq
tar xjf metagenome.tar.bz2 --to-stdout | metaphlan2
--input_type fastq
metaphlan2 --input_type fastq < metagenome.fastq
metaphlan2 --input_type fastq <(bzcat metagenome.fastq.bz2)
metaphlan2 --input_type fastq <(zcat metagenome_1.fastq.gz
metagenome_2.fastq.gz)
- *
- We can also natively handle paired-end metagenomes, and, more generally,
metagenomes stored in multiple files (but you need to specify the
--bowtie2out parameter):
- metaphlan2 metagenome_1.fastq,metagenome_2.fastq --bowtie2out
metagenome.bowtie2.bz2 --nproc 5 --input_type fastq
MetaPhlAn 2 introduces the capability of charachterizing organisms
at the strain level using non aggregated marker information. Such capability
comes with several slightly different flavours and are a way to perform
strain tracking and comparison across multiple samples. Usually, MetaPhlAn 2
is first ran with the default --analysis_type to profile the species
present in the community, and then a strain-level profiling can be performed
to zoom-in into specific species of interest. This operation can be
performed quickly as it exploits the --bowtie2out intermediate file
saved during the execution of the default analysis type.
- *
- The following command will output the abundance of each marker with a RPK
(reads per kil-base) higher 0.0. (we are assuming that
metagenome_outfmt.bz2 has been generated before as shown above).
- metaphlan2 -t marker_ab_table metagenome_outfmt.bz2
--input_type bowtie2out > marker_abundance_table.txt
- The obtained RPK can be optionally normalized by the total number of reads
in the metagenome to guarantee fair comparisons of abundances across
samples. The number of reads in the metagenome needs to be passed with the
'--nreads' argument
- *
- The list of markers present in the sample can be obtained with '-t
marker_pres_table'
- metaphlan2 -t marker_pres_table metagenome_outfmt.bz2
--input_type bowtie2out > marker_abundance_table.txt
- The --pres_th argument (default 1.0) set the minimum RPK value to
consider a marker present
- *
- The list '-t clade_profiles' analysis type reports the same information of
'-t marker_ab_table' but the markers are reported on a clade-by-clade
basis.
- metaphlan2 -t clade_profiles metagenome_outfmt.bz2
--input_type bowtie2out > marker_abundance_table.txt
- *
- Finally, to obtain all markers present for a specific clade and all its
subclades, the '-t clade_specific_strain_tracker' should be used. For
example, the following command is reporting the presence/absence of the
markers for the B. fragulis species and its strains the optional argument
--min_ab specifies the minimum clade abundance for reporting the
markers
- $ metaphlan2 -t clade_specific_strain_tracker --clade
s__Bacteroides_fragilis metagenome_outfmt.bz2 --input_type
bowtie2out > marker_abundance_table.txt
- INPUT_FILE
- the input file can be:
- *
- a fastq file containing metagenomic reads
- OR
- *
- a BowTie2 produced SAM file.
- OR
- *
- an intermediary mapping file of the metagenome generated by a previous
MetaPhlAn run
- If the input file is missing, the script assumes that the input is
provided using the standard input, or named pipes. IMPORTANT: the type of
input needs to be specified with --input_type
- OUTPUT_FILE
- the tab-separated output file of the predicted taxon relative abundances
[stdout if not present]
- --mpa_pkl
MPA_PKL
- the metadata pickled MetaPhlAn file
- --bowtie2db
METAPHLAN_BOWTIE2_DB
- The BowTie2 database file of the MetaPhlAn database. Used if
--input_type is fastq, fasta, multifasta, or multifastq
- --bt2_ps BowTie2
presets
- presets options for BowTie2 (applied only when a multifasta file is
provided) The choices enabled in MetaPhlAn are:
- sensitive
- very-sensitive
- sensitive-local
- very-sensitive-local
- [default very-sensitive]
- --bowtie2_exe
BOWTIE2_EXE
- Full path and name of the BowTie2 executable. This option allows MetaPhlAn
to reach the executable even when it is not in the system PATH or the
system PATH is unreachable
- --bowtie2out
FILE_NAME
- The file for saving the output of BowTie2
- --no_map
- Avoid storing the --bowtie2out map file
- --tmp_dir
- the folder used to store temporary files [default is the OS dependent tmp
dir]
- --tax_lev
TAXONOMIC_LEVEL
- The taxonomic level for the relative abundance output:
'a' : all taxonomic levels
'k' : kingdoms
'p' : phyla only
'c' : classes only
'o' : orders only
'f' : families only
'g' : genera only
's' : species only
[default 'a']
- --min_cu_len
- minimum total nucleotide length for the markers in a clade for estimating
the abundance without considering sub-clade abundances [default 2000]
- --min_alignment_len
- The sam records for aligned reads with the longest subalignment length
smaller than this threshold will be discarded. [default None]
- --ignore_viruses
- Do not profile viral organisms
- --ignore_eukaryotes
- Do not profile eukaryotic organisms
- --ignore_bacteria
- Do not profile bacterial organisms
- --ignore_archaea
- Do not profile archeal organisms
- --stat_q
- Quantile value for the robust average [default 0.1]
- --ignore_markers
IGNORE_MARKERS
- File containing a list of markers to ignore.
- --avoid_disqm
- Deactivate the procedure of disambiguating the quasi-markers based on the
marker abundance pattern found in the sample. It is generally recommended
too keep the disambiguation procedure in order to minimize false
positives
- --stat
- EXPERIMENTAL! Statistical approach for converting marker abundances into
clade abundances
'avg_g' : clade global (i.e. normalizing all markers together) average
'avg_l' : average of length-normalized marker counts
'tavg_g' : truncated clade global average at --stat_q quantile
'tavg_l' : trunated average of length-normalized marker counts (at
--stat_q)
'wavg_g' : winsorized clade global average (at --stat_q)
'wavg_l' : winsorized average of length-normalized marker counts (at
--stat_q)
'med' : median of length-normalized marker counts
[default tavg_g]
- -t ANALYSIS TYPE
- Type of analysis to perform:
- rel_ab: profiling a metagenomes in terms of relative abundances
- rel_ab_w_read_stats: profiling a metagenomes in terms of relative
abundances and estimate the number of reads coming from each clade.
- reads_map: mapping from reads to clades (only reads hitting a marker)
- clade_profiles: normalized marker counts for clades with at least a
non-null marker
- marker_ab_table: normalized marker counts (only when > 0.0 and
normalized by metagenome size if --nreads is specified)
- marker_counts: non-normalized marker counts [use with extreme
caution]
- marker_pres_table: list of markers present in the sample (threshold at 1.0
if not differently specified with --pres_th
- [default 'rel_ab']
- --nreads
NUMBER_OF_READS
- The total number of reads in the original metagenome. It is used only when
-t marker_table is specified for normalizing the length-normalized
counts with the metagenome size as well. No normalization applied if
--nreads is not specified
- --pres_th
PRESENCE_THRESHOLD
- Threshold for calling a marker present by the -t marker_pres_table
option
- --clade
- The clade for clade_specific_strain_tracker analysis
- --min_ab
- The minimum percentage abundace for the clade in the
clade_specific_strain_tracker analysis
- -h, --help
- show this help message and exit
- --nproc N
- The number of CPUs to use for parallelizing the mapping [default 1, i.e.
no parallelism]
- -v, --version
- Prints the current MetaPhlAn version and exit
The code of MetaPhlAn was rwitten by Nicola Segata
(nicola.segata@unitn.it), Duy Tin Truong (duytin.truong@unitn.it).
This manpage was written by Andreas Tille for the Debian
distribution and can be used for any other usage of the program.