=====
pydna
=====

Pydna provide functions for molecular biology using python.
Double stranded DNA sequence classes that make cut and paste 
cloning and PCR very simple is provided (see example below).

::

    >>> import pydna
    >>> seq = pydna.Dseq("GGATCCAAA","TTTGGATCC",ovhg=0)
    >>> seq
    Dseq(-9)
    GGATCCAAA
    CCTAGGTTT
    >>> from Bio.Restriction import BamHI
    >>> a,b = seq.cut(BamHI)
    >>> a
    Dseq(-5)
    G
    CCTAG
    >>> b
    Dseq(-8)
    GATCCAAA
        GTTT
    >>> a+b
    Dseq(-9)
    GGATCCAAA
    CCTAGGTTT
    >>> b+a
    Dseq(-13)
    GATCCAAAG
        GTTTCCTAG
    >>> b+a+b
    Dseq(-17)
    GATCCAAAGGATCCAAA
        GTTTCCTAGGTTT
    >>> b+a+a
    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
      File "/usr/local/lib/python2.7/dist-packages/pydna/dsdna.py", line 217, in __add__
        raise TypeError("sticky ends not compatible!")
    TypeError: sticky ends not compatible!
    >>>

Notably, homologous recombination and Gibson assembly between linear
DNA fragments can be easily simulated.

Most functionality is implemented as methods for the double stranded 
DNA sequence record classes Dseq and Dseqrecord, which are subclasses 
of the `Biopython <http://biopython.org/wiki/Main_Page>`_
`Seq <http://biopython.org/wiki/Seq>`_
and
`SeqRecord <http://biopython.org/wiki/SeqRecord>`_ classes.

Pydna was designed to provide a form of executable documentation
describing a subcloning or DNA assembly experiment. The pydna code 
unambiguously describe a sub cloning experiment, and can be executed 
to yield the sequence of the of the resulting DNA molecule.

Pydna was designed to semantically imitate how sub cloning experiments are
typically documented in Scientific literature. Pydna code describing a
sub cloning is reasonably compact and meant to be easily readable.

The nine lines of Python below, simulates the construction of a recombinant
plasmid. DNA sequences are downloaded from Genbank by accession numbers that 
are guaranteed to be stable.

::

    import pydna

    gb = pydna.Genbank("myself@email.com") # Tell Genbank who you are!
    
    gene = gb.nucleotide("X06997") # Kluyveromyces lactis LAC12 gene for lactose permease.
    
    primer_f,primer_r = pydna.parse(''' >760_KlLAC12_rv (20-mer)
                                        ttaaacagattctgcctctg

                                        >759_KlLAC12_fw (19-mer)
                                        aaatggcagatcattcgag
                                        ''')
                                        
    pcr_prod = pydna.pcr(primer_f,primer_r, gene)

    vector = gb.nucleotide("AJ001614") # pCAPs cloning vector

    from Bio.Restriction import EcoRV
    
    lin_vector = vector.linearize(EcoRV)
    
    rec_vec =  ( lin_vector + pcr_prod ).looped()


Pydna might also be useful to automate the simulation of
`sub cloning <http://en.wikipedia.org/wiki/Subcloning>`_ experiments using
python. This could be helpful to generate examples for teaching purposes. Read
the `documentation <https://pydna.readthedocs.org/en/latest/>`_ or the
`cookbook <https://www.dropbox.com/sh/u1kr30hd22zuwse/gyXYhq0BlL>`_ with example files
for further information.

An `on-line <http://pydna-shell.appspot.com/>`_ shell running Python with
pydna is avaiable for experimentation.

Please post a message in the `google group <https://groups.google.com/d/forum/pydna>`_
for pydna if you have problems, questions or comments.

Feedback in the form of questions, comments or critisism is very welcome!


=======   ========== =============================================================
version   date       comment
=======   ========== =============================================================
0.6.1     2014-04-25 Fixed a bug in the Dseqrecord synced method and removed the 
                     utils synced function. 

0.6.0     2014-04-18 Bugfixes and improvements in documentation.

0.5.0     2013-12-16 Changes to how the amplify and assembly modules work
                     the Amplicon and Assembly classes are now subclasses of
                     Dseqrecord. 

0.2.2     2013-11-05 bugfix: changed the handling of compound features
                     to fit with the new version of BioPython (1.62) which is 
                     now a requirement.

0.2.1     2013-08-18 ---

0.1.8     2013-06-02 bugfix: changed the SeqFeatures added to PCR products in the 
                     amplify module to a dict of list of strings instead of 
                     a dict of strings.

0.1.7     2013-05-29 Changed the code in amplify.Amplicon to handle features 
                     spanning the origin of circular sequences.

0.1.6     2013-04-22 Changed the behaviour of the find method of the Dseq object
                     to find substrings that span the origin. Slicing for circular
                     Dseq objects now works slightly different.

0.1.5     2013-04-18 Changed the setup.py script to permit installation
                     of the source installer without access to a c compiler.

0.1.4     2013-04-10 Cleaned up some docstrings
                     Renamed Drecord -> Dseqrecord to be more consistent with
                     Dseq and Biopython Seq/SeqRecord.

                     Changed name of keyword argument for read and parse.
                     ds=True returns Dseqrecord(s) while ds=False returns
                     SeqRecords.

0.1.3     2013-04-09 pydna created from Python-dna.
=======   ========== =============================================================

System Requirements
===================

- `Python 2.7 <http://www.python.org>`_.
- `Biopython >= 1.60 <http://pypi.python.org/pypi/biopython>`_.
- `networkx >= 1.7 <http://pypi.python.org/pypi/networkx>`_.

Python 2.x
----------

This package was developed on and for Python 2.7. Other versions have not been tested.

Python 3.x
----------

This code has not been tried with Python 3. If there 
is sufficient interest, there might be a Python 3 version in the future. 

Installation
============

PIP
---

The best way of installing pydna is with pip. Pip is the 
officially `recomended <http://python-packaging-user-guide.readthedocs.org/en/latest/>`_ tool
for installaion of Python packages from PyPi.
Pip installs dependencies automatically.

Linux:
::

 bjorn@bjorn-UL30A:~/Dropbox/pydna$ sudo pip install pydna

Windows:
::
 
 C:\> pip install pydna

If you do not have pip, you can get it by following 
these `instructions <http://www.pip-installer.org/en/latest/installing.html>`_.


Source
------

If you install from source, you need to install the dependencies (listed above).
Download one of the source installers from the pypi site and extract the file.
Open the pydna source code directory (containing the setup.py file) in
terminal and type:

python setup.py install

Binary distribution
-------------------

`Binary installers <http://pypi.python.org/pypi/pydna/#downloads>`_ for 32 and 64 bit editions of MS Windows are provided.

The dependencies have to be installed separately. This can be done using the 
binary installers for Windows for those who are not comfortable at the 
command line:

================ ========================================================
Dependency       Hyperlink
================ ========================================================
Python (32,64)   <http://www.python.org/download/>
Biopython (32)   <http://biopython.org/wiki/Download>
Biopython (64)   <http://www.lfd.uci.edu/~gohlke/pythonlibs/#biopython>
networkx (32,64) <http://www.lfd.uci.edu/~gohlke/pythonlibs/#networkx>
================ ========================================================


Source Code Repository
----------------------

Pydna is hosted by google code: http://code.google.com/p/pydna/


Distribution Structure
======================

README.txt          -- This file.

LICENSE.txt         -- What you can do with the code.

setup.py            -- Installation file.

run_tests.py        -- run tests by "python run_tests.py"<enter>

pydna/              -- The code.

docs/               -- Documentation and cookbook.

scripts/            -- Miscellaneous and perhaps useful scripts and examples.

tests/              -- Testing code.
