1. What is seeq?
2. Source file list.
3. Compilation and installation.
4. Running seeq.
5. Using seeq as a sequence trimmer.
6. License.
7. References.
Seeq is a DNA/RNA pattern matching algorithm. Sequence matching is performed based on a Levenshtein distance metric [1]. Typically, a file containing DNA sequences is passed as input along with a DNA pattern. Seeq will search for lines containing the matching pattern. By default, Seeq returns the matching lines through the stadard output. Seeq has many other applications such as sequence extraction, sequence trimming, etc.
- src/main-seeq.c Seeq main file (parameter parsing).
- src/seeq.c Main seeq algorithm (match formatting).
- src/seeq.h Main seeq algorithm header file.
- src/libseeq.c libseeq source code.
- src/libseeq.h libseeq public header.
- src/seeqcore.h libseeq private header.
- src/seeqmodule.c libseeq C-Python interface.
- Makefile Make instruction file.
- setup.py Distutils instruction file.
To install seeq, libseeq for C or the seeq module for Python, you first need to clone or manually download the repository content from github:
git clone git://github.com/ezorita/seeq.git
and change the directory to the cloned repository:
cd seeq
Now you are good to follow the instructions below.
To compile and build seeq you, use the make tool (Mac users require 'xcode', available at the Mac Appstore):
make
a binary file 'seeq' will be created. You can optionally make a symbolic link to execute seeq from any directory:
sudo ln -s ./seeq /usr/bin/seeq
To compile and create the C library into shared object file (.so) use the following make command:
make lib
the libseeq.so file and the required header file libseeq.h will be created in the lib folder.
Seeq can be installed as a Python module as well. The C interface for libseeq will be compiled and installed directly as a Python module:
python setup.py build
sudo python setup.py install
From this moment, the seeq module will be available at your local Python installation. Use import seeq to import the module inside Python.
Seeq runs on Linux and Mac. It has not been tested on Windows.
List of arguments:
seeq [-d #] -[b | a] -[c | i | mnlpkfer] [-x #] -[hvz] [-y #] PATTERN [INPUT_FILE]
PATTERN
The pattern must be a DNA/RNA sequence. Allowed characters are 'A', 'C',
'G', 'T', 'U' and 'N', both lower and uppercase. Multiple characters
(bases) will account as a match in the same position if so is specified
using square brackets, i.e. the pattern 'A[CG]T' defines both 'C' and 'G'
as valid matches for the 2nd nucleotide. Hence, the pattern will match both
'ACT' and 'AGT' with distance 0. The 'unknown' character 'N' is equivalent
to '[ACGTU]' and will match any character without any distance penalty.
INPUT_FILE
Optional parameter. Standard input is used when no input file is specified.
The input file must contain DNA/RNA sequences separated with newline
characters '\n'. Lines containing characters other than 'A', 'C', 'G',
'T', 'U' or 'N' will be ignored. This allows direct use of FASTA or
FASTQ files. Note, however, that tags and quality scores will not be
present in the output.
MATCHING OPTIONS:
-d or --distance #
Defines the maximum Levenshtein distance for pattern matching.
Default is 0.
-i or --invert
Returns the non-matching lines. When specified, all other options,
except 'lines' and 'count', are ignored.
-b or --best
Forces seeq to find the best matching position of each line. The
best matching position is the one with lower Levenshtein distance.
If many positions in the line match the pattern with the lowest
distance, the first one is reported.
-a or --all
Returns all the matching positions of each line. This option also
implies -m. Combine -a with -l and -p to know the precise line and
position of the reported match.
-x or --non-dna [0,1,2]
Defines the behavior of seeq when a non-dna character is found in
the text. Default is 0:
0 - Skip line.
1 - Convert character to 'N' (mismatch).
2 - Ignore character.
FORMAT OPTIONS:
-c or --count
Returns only the count of matching lines. When specified, all other
options are ignored.
-m or --match-only
Print the matching text instead of the whole line.
-n or --no-printline
Does not print the matched line. If this option is set, additional
format options must be specified.
-l or --lines
Shows the line number of the match.
-p or --positions
Shows the position of the match in the text.
-k or --print-dist
Shows the Levenshtein distance of the match.
-f or --compact
Uses compact output format. Each match will produce an output as
folllows:
[line number]:[start]-[end]:[distance]
When specified, other format options [mnlpseb] are ignored.
-e or --end
Prints only the last part of the matched lines, starting after (not including)
the matched part.
-r or --prefix
Prints only the beginning of the matched lines, ending before (not including)
the matched part.
OTHER OPTIONS:
-v or --version
Prints the software version and exits.
-y or --memory
Sets the DFA memory limit (in MB). Default is 0 (unlimited).
-z or --verbose
Verbose. Prints verbose information to the standard error channel.
-h or --help
Prints usage information.
Many high-throughput technologies use reference sequences both at the beginning and the end of the sequence of interest. When the target sequence is not long enough, the reference sequences may be partially present in the final read. Seeq may be used as a sequence trimmer to solve this problem. Consider an input file with the following format:
[constant prefix][DNA sequence][constant suffix]
The target DNA sequence may be extracted selecting several nucleotides from both the prefix and the suffix and piping seeq in --prefix and --end modes:
./seeq --end [constant prefix] input_file.fasta | ./seeq --prefix [constant suffix]
Additionally, different distance thresholds may be specified to match the reference prefix and suffix using '-d #'.
Seeq is licensed under the GNU General Public License, version 3 (GPLv3), for more information read the LICENSE file or refer to:
[1] Levenshtein, V. (1966), 'Binary Codes Capable of Correcting Deletions, Insertions and Reversals', Soviet Physics Doklady 10, 707.