SNP Mutator¶
Contents:
SNP Mutator¶
Generate mutated sequence files from a reference genome.
SNP Mutator was developed by the United States Food and Drug Administration, Center for Food Safety and Applied Nutrition.
- Free software
- Documentation: https://snp-mutator.readthedocs.io/en/latest/readme.html
- Source Code: https://github.com/CFSAN-Biostatistics/snp-mutator
- PyPI Distribution: https://pypi.python.org/pypi/snp-mutator
Features¶
- Reads a fasta file and generates any number of mutated fasta replicate files.
- Mutations can be any number of single-base substitutions, insertions, and deletions at randomly chosen positions, uniformly distributed across the genome.
- Mutations can be chosen from a subset (pool) of all possible positions.
- Replicates can be partitioned into multiple groups with each group sharing a pool of eligible positions.
- Generates a summary file listing the original base and the mutation for all mutated positions.
- Mutations can be either monomorphic or polymorphic.
- VCF file generation.
- Various metrics can be saved to an output file.
- The fasta defline sequence id can be customized.
License¶
See the LICENSE file included in the SNP Mutator distribution.
Installation¶
At the command line:
$ pip install --user snp-mutator
Update your .bashrc file with the path to user-installed python packages:
export PATH=~/.local/bin:$PATH
Or, if you have virtualenvwrapper installed:
$ mkvirtualenv snp-mutator
$ pip install snp-mutator
Upgrading SNP Mutator¶
If you previously installed with pip, you can upgrade to the newest version from the command line:
$ pip install --user --upgrade snp-mutator
Uninstalling SNP Mutator¶
If you installed with pip, you can uninstall from the command line:
$ pip uninstall snp-mutator
Requirements¶
SNP Mutator requires requires python version 2.7, 3.4, 3.5, 3.6 or 3.7. It has not been tested on other python versions.
Usage¶
SNP Mutator is a single script called snpmutator
. After installation,
it will be on your path, ready to use.
Quick Start¶
Step 1 - Create a work directory:
$ mkdir workdir
$ cd workdir
Step 2 - Gather a reference fasta file:
# For this example we will use a fasta file from our sister project, snp-pipeline
$ wget https://raw.githubusercontent.com/CFSAN-Biostatistics/snp-pipeline/master/snppipeline/data/agonaInputs/reference/NC_011149.fasta
Step 3 - Generate the mutated sequences:
# The mutated sequence files are generated in the current working directory
# -r 1, set random seed
# -n 1000, generate 1000 mutated sequences
# -s 900, nine hundred substitutions in each mutated sequence
# -i 50, fifty insertion in each mutated sequence
# -d 50, fifty deletions in each mutated sequence
# -o summary.tsv, generate a mutation summary file called summary.tsv
# -v variants.vcf, generate a VCF file of mutations
# -p 100000, choose mutations from a pool of 100000 positions
# -g 100, partition the 1000 replicates into 10 groups of 100 replicates, with each group having a separate pool of positions
# -m, create monomorphic alleles within each pool
# -M metrics, generate a metrics output file
# -R seq.fasta, generate the contatenated reference fasta file
# -F fasta, directory where the fasta replicates will be generated
$ snpmutator -r 1 -n 1000 -s 900 -i 50 -d 50 -o summary.tsv -v variants.vcf -p 100000 -g 100 -m -M metrics -R seq.fasta -F fasta NC_011149.fasta
Step 4 - Examine the results:
$ ls NC_011149_mutated_*.fasta
$ less summary.tsv
$ cat metrics
Input Files¶
The only input file is the reference fasta file.
Note: Multi-fasta files may produce unexpected results. All the sequences are concatenated into a single sequence. All description lines after the first are discarded.
Output Files¶
Summary¶
An optional summary file in tab-delimited format lists the positions of the mutations for each of the replicates with the original base and the resulting mutation at each position.
VCF¶
An optional VCF file lists the mutations in Variant Call Format.
Replicate Files¶
Multiple mutated replicate files are generated in a directory of your choice. Files are
named with the basename of the original reference file, suffixed with _mutated_#.fasta
.
For example, if the reference file name is NC_011149.fasta
, the first two replicate files
are named NC_011149_mutated_1.fasta
and NC_011149_mutated_2.fasta
.
The defline (description) of the generated fasta files is copied from the original reference
fasta file, but with a suffix describing the mutations. For example, the defline suffix
(mutated s=2 i=1 d=0)
indicates there are two substitutions, one insertion, and zero deletions.
Reference File¶
An optional concatenated reference file can be generated. This is the original fasta file with all the sequences concatenated into a single sequence. All the replicates will be mutations of this file.
Metrics¶
With the --metrics
option, a file of metrics is created describing the mutated positions.
Pooling¶
The --pool
option increases the likelihood of multiple replicates having mutations at the
same positions by limiting the number of positions along the genome where mutations will be
introduced. The positions in the pool are choosen randomly and uniformly from the positions
in the genome.
Grouping¶
The --group
option partitions the replicates into groups with each group having a different pool
of eligible positions. This has the effect of creating more closely related replicates within
groups and more distant replicates between groups.
Monomorphic Alleles¶
The --mono
option ensures that when multiple replicates have a mutation at the same position,
the mutation will be identical in each replicate. However, when used with the --group
option, the
monomorphic mutations are only within the group. Different groups of replicates may have polymorphic
alleles with respect to other groups of replicates.
Command Reference¶
usage: snpmutator [-h] [-o FILE] [-n INT] [-s INT] [-i INT] [-d INT] [-r INT]
[-p INT] [-g INT] [-m] [-I SEQID] [-v FILE] [-M FILE]
[--version]
input_fasta_file
Generate mutated sequence files from a reference genome. Takes a fasta file
and creates a specified number of randomly generated base substitutions,
insertions, and deletions. Outputs the mutated genomes, and optionally, a
summary file listing the mutations by position.
positional arguments:
input_fasta_file Input fasta file.
optional arguments:
-h, --help show this help message and exit
-n INT, --num-simulations INT
Number of mutated sequences to generate. (default:
100)
-s INT, --num-substitutions INT
Number of substitutions. (default: 500)
-i INT, --num-insertions INT
Number of insertions. (default: 20)
-d INT, --num-deletions INT
Number of deletions. (default: 20)
-r INT, --random-seed INT
Random number seed; if not set, the results are not
reproducible. (default: None)
-p INT, --pool INT Choose variants from a pool of eligible positions of
the specified size (default: 0)
-g INT, --group INT Group size. When greater than zero, this parameter
chooses a new pool of positions for each group of
replicates. (default: None)
-m, --mono Create monomorphic alleles (default: False)
-I SEQID, --seqid SEQID
Output fasta description line sequence ID. Each
mutated output file has only one sequence. If not
specified, the defline id will be the id of the first
sequence in the input fasta file. The defline is
always suffixed with an annotation in this format:
(mutated s=900 i=50 d=50). The seq id is also written
to the CHROM column of the output VCF file. (default:
None)
-R FILE, --ref FILE Output concatenanted reference file with no mutations,
but all sequences concatenanted together. All the
replicates will be mutations of this file. (default:
None)
-o FILE, --summary FILE
Output positional summary file. (default: None)
-v FILE, --vcf FILE Output VCF file. (default: None)
-M FILE, --metrics FILE
Output metrics file. (default: None)
--version show program's version number and exit
Contributing¶
Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Types of Contributions¶
Report Bugs¶
Report bugs at https://github.com/CFSAN-Biostatistics/snp-mutator/issues.
If you are reporting a bug, please include:
- Your operating system name and version.
- Any details about your local setup that might be helpful in troubleshooting.
- Detailed steps to reproduce the bug.
Fix Bugs¶
Look through the GitHub issues for bugs. Anything tagged with “bug” is open to whoever wants to implement it.
Implement Features¶
Look through the GitHub issues for features. Anything tagged with “feature” is open to whoever wants to implement it.
Write Documentation¶
SNP Mutator could always use more documentation, whether as part of the official SNP Mutator docs, in docstrings, or even on the web in blog posts, articles, and such.
Submit Feedback¶
The best way to send feedback is to file an issue at https://github.com/CFSAN-Biostatistics/snp-mutator/issues.
If you are proposing a feature:
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
- Remember that this is a volunteer-driven project, and that contributions are welcome :)
Get Started!¶
Ready to contribute? Here’s how to set up snp-mutator for local development.
Fork the snp-mutator repo on GitHub.
Clone your fork locally:
$ git clone git@github.com:your_name_here/snp-mutator.git
Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:
$ mkvirtualenv snp-mutator $ cd snp-mutator/ $ pip install Numpy $ python setup.py develop $ pip install sphinx_rtd_theme # the documentation uses the ReadTheDocs theme
Create a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
When you’re done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:
$ flake8 snp-mutator tests $ python setup.py test $ tox
To get flake8 and tox, just pip install them into your virtualenv.
Update the documentation and review the changes locally with sphinx:
$ cd docs $ make html $ xdg-open _build/html/index.html
Commit your changes and push your branch to GitHub:
$ git add . $ git commit -m "Your detailed description of your changes." $ git push origin name-of-your-bugfix-or-feature
Submit a pull request through the GitHub website.
Pull Request Guidelines¶
Before you submit a pull request, check that it meets these guidelines:
- The pull request should include tests.
- If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
- The pull request should work for Python 2.7, 3.4, 3.5, 3.6 and 3.7. Make sure that the tests pass for all supported Python versions.
Credits¶
CFSAN Bioinformatics Team¶
- James Pettengill
- Hugh Rand
- Steve Davis
- Nathan Xue
External Contributors¶
None yet. Why not be the first?
History¶
1.2.0 (2019-05-15)¶
- Added support for Python 3.6 and 3.7.
- Added a command line option to specify the output directory for the generated fasta files.
1.1.0 (2018-10-23)¶
- Added the capability to specify the fasta defline sequence id in the output files.
- The unmutated, but concatenated sequence reference can be written to a separate output file. All the replicates will be mutations of this file.
1.0.0 (2018-10-12)¶
- Mutations can be chosen from a subset (pool) of all possible positions.
- Replicates can be partitioned into multiple groups with each group sharing a pool of eligible positions.
- Mutations can be either monomorphic or polymorphic.
- Add the capability to generate VCF output files.
- Add the capability to generate a metrics output file.
- The installer creates an executable script called
snpmutator
. - Insertions are now placed after the original reference position, not before, as in prior versions of snpmutator. This means it will not be possible to exactly reproduce the results of prior versions of this software.
0.2.0 (2016-01-15)¶
- Allow lowercase bases in the input fasta file.
- Do not mutate gaps or ambiguous positions.
- Add a command line switch to show the program version.
0.1.1 (2015-06-17)¶
- Remove spaces from the summary file column headings. This will simplify downstream analysis in some scripting languages.
0.1.0 (2015-05-21)¶
- First release on GitHub, Read the Docs, and PyPI.