Provided by: prinseq-lite_0.20.4-6_all 
NAME
PRINSEQ - PReprocessing and INformation of SEQuence data
VERSION
PRINSEQ-lite 0.20.4
SYNOPSIS
perl prinseq-lite.pl [-h] [-help] [-version] [-man] [-verbose] [-fastq input_fastq_file]
[-fasta input_fasta_file] [-fastq2 input_fastq_file_2] [-fasta2 input_fasta_file_2] [-qual
input_quality_file] [-min_len int_value] [-max_len int_value] [-range_len ranges] [-min_gc
int_value] [-max_gc int_value] [-range_gc ranges] [-min_qual_score int_value]
[-max_qual_score int_value] [-min_qual_mean int_value] [-max_qual_mean int_value]
[-ns_max_p int_value] [-ns_max_n int_value] [-noniupac] [-seq_num int_value] [-derep
int_value] [-derep_min int_value] [-lc_method method_name] [-lc_threshold int_value]
[-trim_to_len int_value] [-trim_left int_value] [-trim_right int_value] [-trim_left_p
int_value] [-trim_right_p int_value] [-trim_ns_left int_value] [-trim_ns_right int_value]
[-trim_tail_left int_value] [-trim_tail_right int_value] [-trim_qual_left int_value]
[-trim_qual_right int_value] [-trim_qual_type type] [-trim_qual_rule rule]
[-trim_qual_window int_value] [-trim_qual_step int_value] [-seq_case case] [-dna_rna type]
[-line_width int_value] [-rm_header] [-seq_id id_string] [-out_format int_value]
[-out_good filename_prefix] [-out_bad filename_prefix] [-phred64] [-stats_info]
[-stats_len] [-stats_dinuc] [-stats_tag] [-stats_dupl] [-stats_ns] [-stats_assembly]
[-stats_all] [-aa] [-graph_data file] [-graph_stats string] [-qual_noscale]
[-no_qual_header] [-exact_only] [-log file] [-custom_params string] [-params file]
[-seq_id_mappings file]
DESCRIPTION
PRINSEQ will help you to preprocess your genomic or metagenomic sequence data in FASTA
(and QUAL) or FASTQ format. The lite version does not require any non-core perl modules
for processing.
OPTIONS
-help | -h
Print the help message; ignore other arguments.
-man Print the full documentation; ignore other arguments.
-version
Print program version; ignore other arguments.
-verbose
Prints status and info messages during processing.
***** INPUT OPTIONS *****
-fastq <file>
Input file in FASTQ format that contains the sequence and quality data. Use stdin
instead of a file name to read from STDIN (-fasta stdin). This can be useful to
process compressed files using Unix pipes.
-fasta <file>
Input file in FASTA format that contains the sequence data. Use stdin instead of a
file name to read from STDIN (-fastq stdin). This can be useful to process
compressed files using Unix pipes.
-qual <file>
Input file in QUAL format that contains the quality data.
-fastq2 <file>
For paired-end data only. Input file in FASTQ format that contains the sequence
and quality data. The sequence identifiers for two matching paired-end sequences
in separate files can be marked by /1 and /2, or _L and _R, or _left and _right,
or must have the exact same identifier in both input files. The input sequences
must be sorted by their sequence identifiers. Singletons are allowed in the input
files.
-fasta2 <file>
For paired-end data only. Input file in FASTA format that contains the sequence
data. The sequence identifiers for two matching paired-end sequences in separate
files can be marked by /1 and /2, or _L and _R, or _left and _right, or must have
the exact same identifier in both input files. The input sequences must be sorted
by their sequence identifiers. Singletons are allowed in the input files.
-params <file>
Input file in text format that contains PRINSEQ parameters. Each parameter should
be specified on a new line and arguments should be separated by spaces or tabs.
Comments can be specified on lines starting with the # sign. Can be combined with
command line parameters. Parameters specified on the command line will overwrite
the arguments in the file (if any).
-si13 This option was replaced by option -phred64.
-phred64
Quality data in FASTQ file is in Phred+64 format
(http://en.wikipedia.org/wiki/FASTQ_format#Encoding). Not required for Illumina
1.8+, Sanger, Roche/454, Ion Torrent, PacBio data.
-aa Input is amino acid (protein) sequences instead of nucleic acid (DNA or RNA)
sequences. Allowed amino acid characters:
ABCDEFGHIKLMNOPQRSTUVWYZXabcdefghiklmmopqrstuvwyzx*- and allowed nucleic acid
characters: ACGTURYKMSWBDHVNXacgturykmswbdhvnx-
The following options are ignored for -aa: stats_dinuc,stats_tag,stats_ns,dna_rna
***** OUTPUT OPTIONS *****
-out_format <integer>
To change the output format, use one of the following options. If not defined, the
output format will be the same as the input format.
1 (FASTA only), 2 (FASTA and QUAL), 3 (FASTQ), 4 (FASTQ and FASTA), or 5 (FASTQ,
FASTA and QUAL)
-out_good <string>
By default, the output files are created in the same directory as the input file
containing the sequence data with an additional "_prinseq_good_XXXX" in their name
(where XXXX is replaced by random characters to prevent overwriting previous
files). To change the output filename and location, specify the filename using
this option. The file extension will be added automatically (either .fasta, .qual,
or .fastq). For paired-end data, filenames contain additionally "_1",
"_1_singletons", "_2", and "_2_singletons" before the file extension. Use
"-out_good null" to prevent the program from generating the output file(s) for
data passing all filters. Use "-out_good stdout" to write data passing all filters
to STDOUT (only for FASTA or FASTQ output files).
Example: use "file_passed" to generate the output file file_passed.fasta in the
current directory
-out_bad <string>
By default, the output files are created in the same directory as the input file
containing the sequence data with an additional "_prinseq_bad_XXXX" in their name
(where XXXX is replaced by random characters to prevent overwriting previous
files). To change the output filename and location, specify the filename using
this option. The file extension will be added automatically (either .fasta, .qual,
or .fastq). For paired-end data, filenames contain additionally "_1" and "_2"
before the file extension. Use "-out_bad null" to prevent the program from
generating the output file(s) for data not passing any filter. Use "-out_bad
stdout" to write data not passing any filter to STDOUT (only for FASTA or FASTQ
output files).
Example: use "file_filtered" to generate the output file file_filtered.fasta in
the current directory
Example: "-out_good stdout -out_bad null" will write data passing filters to
STDOUT and data not passing any filter will be ignored
-log <file>
Log file to keep track of parameters, errors, etc. The log file name is optional.
If no file name is given, the log file name will be "inputname.log". If the log
file already exists, new content will be added to the file.
-graph_data <file>
File that contains the necessary information to generate the graphs similar to the
ones in the web version. The file name is optional. If no file name is given, the
file name will be "inputname.gd". If the file already exists, new content will
overwrite the file. Use "-out_good null -out_bad null" to prevent generating any
additional outputs. (See below for more options related to the graph data.)
The graph data can be used as input for the prinseq-graphs.pl file to generate the
PNG graph files or an HTML report file. If you have trouble installing the
required prinseq-graphs.pl modules or want to see an output example report, upload
the graph data file at: http://edwards.sdsu.edu/prinseq/ -> Choose "Get Report"
-graph_stats <string>
Use this option to select what statistics should be calculated and included in the
graph_data file. This is useful if you e.g. do not need sequence complexity
information, which requires a lot of computation. Requires to have graph_data
specified. Default is all selected.
Allowed option are (separate multiple by comma with no spaces): ld (Length
distribution), gc (GC content distribution), qd (Base quality distribution), ns
(Occurrence of N), pt (Poly-A/T tails), ts (Tag sequence check), aq (Assembly
quality measure), de (Sequence duplication - exact only), da (Sequence duplication
- exact + 5'/3'), sc (Sequence complexity), dn (Dinucleotide odds ratios, includes
the PCA plots)
Example use: -graph_stats ld,gc,qd,de
-qual_noscale
Use this option if all your sequences are shorter than 100bp as they do not
require to scale quality data to 100 data points in the graph. By default, quality
scores of sequences shorter than 100bp or longer than 100bp are fit to 100 data
points. (To retrieve this information and calculate the graph data would otherwise
require to parse the data two times or store all the quality data in memory.)
-no_qual_header
In order to reduce the file size, this option will generate an empty header line
for the quality data in FASTQ files. Instead of +header, only the + sign will be
output. The header of the sequence data will be left unchanged. This option
applies to FASTQ output files only.
-exact_only
Use this option to check for exact (forward and reverse) duplicates only when
generating the graph data. This allows one to keep the memory requirements low for
large input files and is faster. This option will automatically be applied when
using -derep options 1 and/or 4 only. Specify option -derep 1 or -derep 4 if you
do not want to apply both at the same time.
-seq_id_mappings <file>
Text file containing the old and new (specified with -seq_id) identifiers for
later reference. This option is useful if e.g. a renamed sequence has to be
identified based on the new sequence identifier. The file name is optional. If no
file name is given, the file name will be "inputname_prinseq_good.ids" (only good
sequences are renamed). If a file with the same name already exists, new content
will overwrite the old file. The text file contains one sequence identifier pair
per line, separated by tabs (old-tab-new). Requires option -seq_id.
***** FILTER OPTIONS *****
-min_len <integer>
Filter sequence shorter than min_len.
-max_len <integer>
Filter sequence longer than max_len.
-range_len <string>
Filter sequence by length range. Multiple range values should be separated by
comma without spaces.
Example: -range_len 50-100,250-300
-min_gc <integer>
Filter sequence with GC content below min_gc.
-max_gc <integer>
Filter sequence with GC content above max_gc.
-range_gc <string>
Filter sequence by GC content range. Multiple range values should be separated by
comma without spaces.
Example: -range_gc 50-60,75-90
-min_qual_score <integer>
Filter sequence with at least one quality score below min_qual_score.
-max_qual_score <integer>
Filter sequence with at least one quality score above max_qual_score.
-min_qual_mean <integer>
Filter sequence with quality score mean below min_qual_mean.
-max_qual_mean <integer>
Filter sequence with quality score mean above max_qual_mean.
-ns_max_p <integer>
Filter sequence with more than ns_max_p percentage of Ns.
-ns_max_n <integer>
Filter sequence with more than ns_max_n Ns.
-noniupac
Filter sequence with characters other than A, C, G, T or N.
-seq_num <integer>
Only keep the first seq_num number of sequences (that pass all other filters).
-derep <integer>
Type of duplicates to filter. Allowed values are 1, 2, 3, 4 and 5. Use integers
for multiple selections (e.g. 124 to use type 1, 2 and 4). The order does not
matter. Option 2 and 3 will set 1 and option 5 will set 4 as these are subsets of
the other option.
1 (exact duplicate), 2 (5' duplicate), 3 (3' duplicate), 4 (reverse complement
exact duplicate), 5 (reverse complement 5'/3' duplicate)
-derep_min <integer>
This option specifies the number of allowed duplicates. If you want to remove
sequence duplicates that occur more than x times, then you would specify x+1 as
the -derep_min values. For examples, to remove sequences that occur more than 5
times, you would specify -derep_min 6. This option can only be used in combination
with -derep 1 and/or 4 (forward and/or reverse exact duplicates). [default : 2]
-lc_method <string>
Method to filter low complexity sequences. The current options are "dust" and
"entropy". Use "-lc_method dust" to calculate the complexity using the dust
method.
-lc_threshold <integer>
The threshold value (between 0 and 100) used to filter sequences by sequence
complexity. The dust method uses this as maximum allowed score and the entropy
method as minimum allowed value.
-custom_params <string>
Can be used to specify additional filters. The current set of possible rules is
limited and has to follow the specifications below. The custom parameters have to
be specified within quotes (either ' or ").
Please separate parameter values with a space and separate new parameter sets with
semicolon (;). Parameters are defined by two values:
(1) the pattern (any combination of the letters "ACGTN"),
(2) the number of repeats or percentage of occurrence Percentage values are
defined by a number followed by the %-sign (without space). If no %-sign is
given, it is assumed that the given number specifies the number of repeats of the
pattern.
Examples: "AAT 10" (filters out sequences containing
AATAATAATAATAATAATAATAATAATAAT anywhere in the sequence), "T 70%" (filters out
sequences with more than 70% Ts in the sequence), "A 15" (filters out sequences
containing AAAAAAAAAAAAAAA anywhere in the sequence), "AAT 10;T 70%;A 15" (apply
all three filters)
***** TRIM OPTIONS *****
-trim_to_len <integer>
Trim all sequence from the 3'-end to result in sequence with this length.
-trim_left <integer>
Trim sequence at the 5'-end by trim_left positions.
-trim_right <integer>
Trim sequence at the 3'-end by trim_right positions.
-trim_left_p <integer>
Trim sequence at the 5'-end by trim_left_p percentage of read length. The trim
length is rounded towards the lower integer (e.g. 143.6 is rounded to 143
positions). Use an integer between 1 and 100 for the percentage value.
-trim_right_p <integer>
Trim sequence at the 3'-end by trim_right_p percentage of read length. The trim
length is rounded towards the lower integer (e.g. 143.6 is rounded to 143
positions). Use an integer between 1 and 100 for the percentage value.
-trim_tail_left <integer>
Trim poly-A/T tail with a minimum length of trim_tail_left at the 5'-end.
-trim_tail_right <integer>
Trim poly-A/T tail with a minimum length of trim_tail_right at the 3'-end.
-trim_ns_left <integer>
Trim poly-N tail with a minimum length of trim_ns_left at the 5'-end.
-trim_ns_right <integer>
Trim poly-N tail with a minimum length of trim_ns_right at the 3'-end.
-trim_qual_left <integer>
Trim sequence by quality score from the 5'-end with this threshold score.
-trim_qual_right <integer>
Trim sequence by quality score from the 3'-end with this threshold score.
-trim_qual_type <string>
Type of quality score calculation to use. Allowed options are min, mean, max and
sum. [default: min]
-trim_qual_rule <string>
Rule to use to compare quality score to calculated value. Allowed options are lt
(less than), gt (greater than) and et (equal to). [default: lt]
-trim_qual_window <integer>
The sliding window size used to calculate quality score by type. To stop at the
first base that fails the rule defined, use a window size of 1. [default: 1]
-trim_qual_step <integer>
Step size used to move the sliding window. To move the window over all quality
scores without missing any, the step size should be less or equal to the window
size. [default: 1]
***** REFORMAT OPTIONS *****
-seq_case <string>
Changes sequence character case to upper or lower case. Allowed options are
"upper" and "lower". Use this option to remove soft-masking from your sequences.
-dna_rna <string>
Convert sequence between DNA and RNA. Allowed options are "dna" (convert from RNA
to DNA) and "rna" (convert from DNA to RNA).
-line_width <integer>
Sequence characters per line. Use 0 if you want each sequence in a single line.
Use 80 for line breaks every 80 characters. Note that this option only applies to
FASTA output files, since FASTQ files store sequences without additional line
breaks. [default: 60]
-rm_header
Remove the sequence header. This includes everything after the sequence identifier
(which is kept unchanged).
-seq_id <string>
Rename the sequence identifier. A counter is added to each identifier to assure
its uniqueness. Use option -seq_id_mappings to generate a file containing the old
and new identifiers for later reference.
Example: "mySeq_10" will generate the IDs (in FASTA format) >mySeq_101,
>mySeq_102, >mySeq_103, ...
***** SUMMARY STATISTIC OPTIONS *****
The summary statistic values are written to STDOUT in the form: "parameter_name
statistic_name value" (without the quotes). For example, "stats_info reads 10000"
or "stats_len max 500". Only one statistic is written per line and values are
separated by tabs.
If you specify any statistic option, no other output will be generated. To
preprocess data, do not specify a statistics option.
-stats_info
Outputs basic information such as number of reads (reads) and total bases (bases).
-stats_len
Outputs minimum (min), maximum (max), range (range), mean (mean), standard
deviation (stddev), mode (mode) and mode value (modeval), and median (median) for
read length.
-stats_dinuc
Outputs the dinucleotide odds ratio for AA/TT (aatt), AC/GT (acgt), AG/CT (agct),
AT (at), CA/TG (catg), CC/GG (ccgg), CG (cg), GA/TC (gatc), GC (gc) and TA (ta).
-stats_tag
Outputs the probability of a tag sequence at the 5'-end (prob5) and 3'-end (prob3)
in percentage (0..100). Provides the number of predefined MIDs (midnum) and the
MID sequences (midseq, separated by comma, only provided if midnum > 0) that occur
in more than 34/100 (approx. 3%) of the reads.
-stats_dupl
Outputs the number of exact duplicates (exact), 5' duplicates (5), 3' duplicates
(3), exact duplicates with reverse complements (exactrevcom) and 5'/3' duplicates
with reverse complements (revcomp), and total number of duplicates (total). The
maximum number of duplicates is given under the value name with an additional
"maxd" (e.g. exactmaxd or 5maxd).
-stats_ns
Outputs the number of reads with ambiguous base N (seqswithn), the maximum number
of Ns per read (maxn) and the maximum percentage of Ns per read (maxp). The maxn
and maxp value are not necessary from the same sequence.
-stats_assembly
Outputs the N50, N90, etc contig sizes. The Nxx contig size is a weighted median
that is defined as the length of the smallest contig C in the sorted list of all
contigs where the cumulative length from the largest contig to contig C is at
least xx% of the total length (sum of contig lengths).
-stats_all
Outputs all available summary statistics.
***** ORDER OF PROCESSING *****
The available options are processed in the following order:
seq_num, trim_left, trim_right, trim_left_p, trim_right_p, trim_qual_left,
trim_qual_right, trim_tail_left, trim_tail_right, trim_ns_left, trim_ns_right,
trim_to_len, min_len, max_len, range_len, min_qual_score, max_qual_score,
min_qual_mean, max_qual_mean, min_gc, max_gc, range_gc, ns_max_p, ns_max_n,
noniupac, lc_method, derep, seq_id, seq_case, dna_rna, out_format
AUTHOR
Robert SCHMIEDER, "<rschmieder_at_gmail_dot_com>"
BUGS
If you find a bug please email me at "<rschmieder_at_gmail_dot_com>" or use
http://sourceforge.net/tracker/?group_id=315449 so that I can make PRINSEQ better.
COPYRIGHT
Copyright (C) 2010-2012 Robert SCHMIEDER
LICENSE
This program is free software: you can redistribute it and/or modify it under the terms of
the GNU General Public License as published by the Free Software Foundation, either
version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY;
without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program.
If not, see <http://www.gnu.org/licenses/>.