python-biopython

Edit Package python-biopython

The Biopython Project is an international association of developers of freely available Python tools for computational molecular biology.

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biopython-1.80.tar.gz 0017924553 17.1 MB
python-biopython-rpmlintrc 0000000102 102 Bytes
python-biopython.changes 0000027287 26.6 KB
python-biopython.spec 0000002607 2.55 KB
Revision 9 (latest revision is 12)
Dominique Leuenberger's avatar Dominique Leuenberger (dimstar_suse) accepted request 1055870 from Dirk Mueller's avatar Dirk Mueller (dirkmueller) (revision 9)
- update to 1.80:
  * This release of Biopython supports Python 3.7, 3.8, 3.9, 3.10, 3.11. It
    has also been tested on PyPy3.7 v7.3.5.
  * Functions ``read``, ``parse``, and ``write`` were added to ``Bio.Align``
    to read and write ``Alignment`` objects.
  * Because dict retains the item order by default since Python3.6, all
    instances of ``collections.OrderedDict`` have been replaced by either standard
    ``dict`` or where appropriate by ``collections.defaultsdict``.
  * The ``Bio.motifs.jaspar.db`` now returns ``tf_family`` and ``tf_class``
    as a string array since the JASPAR 2018 release.
  * The Local Composition Complexity functions from ``Bio.SeqUtils`` now
    uses base 4 log instead of 2 as stated in the original reference Konopka
    (2005), * Sequence Complexity and Composition.  https://doi.org/10.1038/npg.els.0005260
  * Append mode is now supported in ``Bio.bgzf`` (and a bug parsing blocked
    GZIP files with an internal empty block fixed).
  * The experimental warning was dropped from ``Bio.phenotype`` (which was
    new in Biopython 1.67).
  * Sequences now have a ``defined`` attribute that returns a boolean
    indicating if the underlying data is defined or not.
  * The ``Bio.PDB`` module now includes a structural alignment module, using
    the combinatorial extension algorithm of Shindyalov and Bourne, commonly
    known as CEAlign. The module allows for two structures to be aligned based solely
    on their 3D conformation, ie. in a sequence-independent manner. The method
    is particularly powerful when the structures shared a very low degree of
    sequence similarity. The new module is available in ``Bio.PDB.CEAligner`` with an
    interface similar to other 3D superimposition modules.
  * A new module ``Bio.PDB.qcprot`` implements the QCP superposition
    algorithm in pure Python, deprecating the existing C implementation. This leads to a
    slight performance improvement and to much better maintainability. The
    refactored ``qcprot.QCPSuperimposer`` class has small changes to its API, to better
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