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It has also been tested on PyPy3.7 v7.3.5. We intend to drop Python 3.7 support. The API documentation and the `Biopython Tutorial and Cookbook` have been updated to better annotate use and application of the ``Bio.PDB.internal_coords`` module. ``Bio.Phylo`` now supports ``Alignment`` and ``MultipleSeqAlignment`` objects as input. Several improvements and bug fixes to the snapgene parser contributes by Damien Goutte-Gattat. Additionally, a number of small bugs and typos have been fixed with additions to the test suite. 18 November 2022: Biopython 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. String formatting and printing output of ``Alignment`` objects from ``Bio.Align`` were changed to support these new functions. To obtain a string showing the aligned sequence with the appropriate gap characters (as previously shown when calling ``format`` on an alignment), use ``alignment[i]``, where ``alignment`` is an ``Alignment`` object and ``i`` is the index of the aligned sequence. Because dict retains the item order by default since Python3.6, all instances of ``collections.OrderedDict`` have been replaced by either standard ``dict`` or where appropriate by ``collections.defaultsdict``. Robert Miller has updated the ``Bio.PDB.internal_coords`` module to make better use of Numpy for lossless structure assembly from dihedral angles and related internal coordinates. In addition to speeding the assembly step by ~30%, this adds distance plot support (including re-generating structures from distance plot data), coordinate space transforms for superimposing residues and their environments, a per-chain all-atom array for Atom coordinates, and optional default values for all internal coordinates. The internal coordinates module continues to support extracting dihedral angle, bond angle and bond length (internal coordinates) data, reading/writing structure files of internal coordinates, and OpenSCAD output of structures for 3D CAD/3D printing work. 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 mirror that of ``Bio.PDB.Superimposer``. The ``Bio.PDB.PDBList`` module now allows downloading biological assemblies, for one or more entries of the wwPDB. In the ``Bio.Restriction`` module, each restriction enzyme now includes an `id` property giving the numerical identifier for the REBASE database identifier from which the enzyme object was created, and a `uri` property with a canonical `identifiers.org` link to the database, for use in linked-data representations. Add new ``gc_fraction`` function in ``SeqUtils`` and marks ``GC`` for future deprecation. Support for the old format (dating back to 2004) of the GN line in SwissProt files was dropped in ``Bio.SwissProt``. Additionally, a number of small bugs and typos have been fixed with additions to the test suite. @ text @$NetBSD: distinfo,v 1.4 2022/02/17 10:44:49 wiz Exp $ BLAKE2s (biopython-1.81.tar.gz) = dbd9c3cab115b2b20dd320fd20e2c686681cbef4381d758b291b5643e9ba86ef SHA512 (biopython-1.81.tar.gz) = 1595fad6631bfb6cf4e1a92ed72e6093e2a0c24f3c0bd4182267ec9742fb03dff16099eedde139598aa6b5b8380bbac9e48246cb9ab8b44109333d60adfd00ed Size (biopython-1.81.tar.gz) = 19324875 bytes @ 1.4 log @py-biopython: update to 1.79. 1 June 2021: Biopython 1.79 ================================ This is intended to be our final release supporting Python 3.6. It also supports Python 3.7, 3.8 and 3.9, and has also been tested on PyPy3.6.1 v7.1.1. The ``Seq`` and ``MutableSeq`` classes in ``Bio.Seq`` now store their sequence contents as ``bytes` ` and ``bytearray`` objects, respectively. Previously, for ``Seq`` objects a string object was used, and a Unicode array object for ``MutableSeq`` objects. This was maintained during the transition from Python2 to Python3. However, a Python2 string object corresponds to a ``bytes`` object in Python3, storing the string as a series of 256-bit characters. While non- ASCII characters could be stored in Python2 strings, they were not treated as such. For example: In Python2:: >>> s = "Генетика" >>> type(s) >>> len(s) 16 In Python3:: >>> s = "Генетика" >>> type(s) >>> len(s) 8 In Python3, storing the sequence contents as ``bytes`` and ``bytearray`` objects has the further advantage that both support the buffer protocol. Taking advantage of the similarity between ``bytes`` and ``bytearray``, the ``Seq`` and ``MutableSeq`` classes now inherit from an abstract base class ``_SeqAbstractBaseClass`` in ``Bio.Seq`` that implements most of the ``Seq`` and ``MutableSeq`` methods, ensuring their consistency with each other. For methods that modify the sequence contents, an optional ``inplace`` argument to specify if a new sequence object should be returned with the new sequence contents (if ``inplace`` is ``False``, the default) or if the sequence object itself should be modified (if ``inplace`` is ``True``). For ``Seq`` objects, which are immutable, using ``inplace=True`` raises an exception. For ``inplace=False``, the default, ``Seq`` objects and ``MutableSeq`` behave consistently. As before, ``Seq`` and ``MutableSeq`` objects can be initialized using a string object, which will be converted to a ``bytes`` or ``bytearray`` object assuming an ASCII encoding. Alternatively, a ``bytes`` or ``bytearray`` object can be used, or an instance of any class inheriting from the new ``SequenceDataAbstractBaseClass`` abstract base class in ``Bio.Seq``. This requires that the class implements the ``__len__`` and ``__getitem`` methods that return the sequence length and sequence contents on demand. Initialzing a ``Seq`` instance using an instance of a class inheriting from ``SequenceDataAbstractBaseClass`` allows the ``Seq`` object to be lazy, meaning that its sequence is provided on demand only, without requiring to initialize the full sequence. This feature is now used in ``BioSQL``, providing on-demand sequence loading from an SQL database, as well as in a new parser for twoBit (.2bit) sequence data added to ``Bio.SeqIO``. This is a lazy parser that allows fast access to genome-size DNA sequence files by not having to read the full genome sequence. The new ``_UndefinedSequenceData`` class in ``Bio.Seq`` also inherits from ``SequenceDataAbstractBaseClass`` to represent sequences of known length but unknown sequence contents. This provides an alternative to ``UnknownSeq``, which is now deprecated as its definition was ambiguous. For example, in these examples the ``UnknownSeq`` is interpreted as a sequence with a well-defined sequence contents:: >>> s = UnknownSeq(3, character="A") >>> s.translate() UnknownSeq(1, character='K') >>> s + "A" Seq("AAAA") A sequence object with an undefined sequence contents can now be created by using ``None`` when creating the ``Seq`` object, together with the sequence length. Trying to access its sequence contents raises an ``UndefinedSequenceError``:: >>> s = Seq(None, length=6) >>> s Seq(None, length=6) >>> len(s) 6 >>> "A" in s Traceback (most recent call last): ... Bio.Seq.UndefinedSequenceError: Sequence content is undefined >>> print(s) Traceback (most recent call last): .... Bio.Seq.UndefinedSequenceError: Sequence content is undefined Element assignment in Bio.PDB.Atom now returns "X" when the element cannot be unambiguously guessed from the atom name, in accordance with PDB structures. Bio.PDB entities now have a ``center_of_mass()`` method that calculates either centers of gravity or geometry. New method ``disordered_remove()`` implemented in Bio.PDB DisorderedAtom and DisorderedResidue to remove children. New module Bio.PDB.SASA implements the Shrake-Rupley algorithm to calculate atomic solvent accessible areas without third-party tools. Expected ``TypeError`` behaviour has been restored to the ``Seq`` object's string like methods (fixing a regression in Biopython 1.78). The KEGG ``KGML_Pathway`` KGML output was fixed to produce output that complies with KGML v0.7.2. Parsing motifs in ``pfm-four-rows`` format can now handle motifs with values in scientific notation. Parsing motifs in ``minimal``` MEME format will use ``nsites`` when making the count matrix from the frequency matrix, instead of multiply the frequency matrix by 1000000. Bio.UniProt.GOA now parses Gene Product Information (GPI) files version 1.2, files can be downloaded from the EBI ftp site: ftp://ftp.ebi.ac.uk/pub/databases/GO/goa/ 4 September 2020: Biopython 1.78 ================================ This release of Biopython supports Python 3.6, 3.7 and 3.8. It has also been tested on PyPy3.6.1 v7.1.1. The main change is that ``Bio.Alphabet`` is no longer used. In some cases you will now have to specify expected letters, molecule type (DNA, RNA, protein), or gap character explicitly. Please consult the updated Tutorial and API documentation for guidance. This simplification has sped up many ``Seq`` object methods. See https://biopython.org/wiki/Alphabet for more information. ``Bio.SeqIO.parse()`` is faster with "fastq" format due to small improvements in the ``Bio.SeqIO.QualityIO`` module. The ``SeqFeature`` object's ``.extract()`` method can now be used for trans-spliced locations via an optional dictionary of references. As in recent releases, more of our code is now explicitly available under either our original "Biopython License Agreement", or the very similar but more commonly used "3-Clause BSD License". See the ``LICENSE.rst`` file for more details. Additionally, a number of small bugs and typos have been fixed with additions to the test suite. There has been further work to follow the Python PEP8, PEP257 and best practice standard coding style, and all of the tests have been reformatted with the ``black`` tool to match the main code base. 25 May 2020: Biopython 1.77 =========================== This release of Biopython supports Python 3.6, 3.7 and 3.8 It has also been tested on PyPy3.6.1 v7.1.1-beta0. **We have dropped support for Python 2 now.** ``pairwise2`` now allows the input of parameters with keywords and returns the alignments as a list of ``namedtuples``. The codon tables have been updated to NCBI genetic code table version 4.5, which adds Cephalodiscidae mitochondrial as table 33. Updated ``Bio.Restriction`` to the January 2020 release of REBASE. A major contribution by Rob Miller to ``Bio.PDB`` provides new methods to handle protein structure transformations using dihedral angles (internal coordinates). The new framework supports lossless interconversion between internal and cartesian coordinates, which, among other uses, simplifies the analysis and manipulation of coordinates of proteins structures. As in recent releases, more of our code is now explicitly available under either our original "Biopython License Agreement", or the very similar but more commonly used "3-Clause BSD License". See the ``LICENSE.rst`` file for more details. Additionally, a number of small bugs and typos have been fixed with further additions to the test suite. There has been further work to follow the Python PEP8, PEP257 and best practice standard coding style, and all the main code base has been reformatted with the ``black`` tool. 20 December 2019: Biopython 1.76 ================================ This release of Biopython supports Python 2.7, 3.5, 3.6, 3.7 and 3.8. It has also been tested on PyPy2.7.13 v7.1.1 and PyPy3.6.1 v7.1.1-beta0. We intend this to be our final release supporting Python 2.7 and 3.5. As in recent releases, more of our code is now explicitly available under either our original "Biopython License Agreement", or the very similar but more commonly used "3-Clause BSD License". See the ``LICENSE.rst`` file for more details. ``PDBParser`` and ``PDBIO`` now support PQR format file parsing and input/ output. In addition to the mainstream ``x86_64`` aka ``AMD64`` CPU architecture, we now also test every contribution on the ``ARM64``, ``ppc64le``, and ``s390x`` CPUs under Linux thanks to Travis CI. Further post-release testing done by Debian and other packagers and distributors of Biopython also covers these CPUs. ``Bio.motifs.PositionSpecificScoringMatrix.search()`` method has been re-written: it now applies ``.calculate()`` to chunks of the sequence to maintain a low memory footprint for long sequences. Additionally, a number of small bugs and typos have been fixed with further additions to the test suite. There has been further work to follow the Python PEP8, PEP257 and best practice standard coding style, and more of the code style has been reformatted with the ``black`` tool. 6 November 2019: Biopython 1.75 =============================== This release of Biopython supports Python 2.7, 3.5, 3.6, 3.7 and is expected to work on the soon to be released Python 3.8. It has also been tested on PyPy2.7.13 v7.1.1 and PyPy3.6.1 v7.1.1-beta0. Note we intend to drop Python 2.7 support in early 2020. The restriction enzyme list in ``Bio.Restriction`` has been updated to the August 2019 release of REBASE. ``Bio.SeqIO`` now supports reading and writing files in the native format of Christian Marck's DNA Strider program ("xdna" format, also used by Serial Cloner), as well as reading files in the native formats of GSL Biotech's SnapGene ("snapgene") and Textco Biosoftware's Gene Construction Kit ("gck"). ``Bio.AlignIO`` now supports GCG MSF multiple sequence alignments as the "msf" format (work funded by the National Marrow Donor Program). The main ``Seq`` object now has string-like ``.index()`` and ``.rindex()`` methods, matching the existing ``.find()`` and ``.rfind()`` implementations. The ``MutableSeq`` object retains its more list-like ``.index()`` behaviour. The ``MMTFIO`` class has been added that allows writing of MMTF file format files from a Biopython structure object. ``MMTFIO`` has a similar interface to ``PDBIO`` and ``MMCIFIO``, including the use of a ``Select`` class to write out a specified selection. This final addition to read/write support for PDB/mmCIF/MMTF in Biopython allows conversion between all three file formats. Values from mmCIF files are now read in as a list even when they consist of a single value. This change improves consistency and reduces the likelihood of making an error, but will require user code to be updated accordingly. `Bio.motifs.meme` has been updated to parse XML output files from MEME over the plain-text output file. The goal of this change is to parse a more structured data source with minimal loss of functionality upon future MEME releases. ``Bio.PDB`` has been updated to support parsing REMARK 99 header entries from PDB-style Astral files. A new keyword parameter ``full_sequences`` was added to ``Bio.pairwise2``'s pretty print method ``format_alignment`` to restore the output of local alignments to the 'old' format (showing the whole sequences including the un-aligned parts instead of only showing the aligned parts). A new function ``charge_at_pH(pH)`` has been added to ``ProtParam`` and ``IsoelectricPoint`` in ``Bio.SeqUtils``. The ``PairwiseAligner`` in ``Bio.Align`` was extended to allow generalized pairwise alignments, i.e. alignments of any Python object, for example three-letter amino acid sequences, three-nucleotide codons, and arrays of integers. A new module ``substitution_matrices`` was added to ``Bio.Align``, which includes an ``Array`` class that can be used as a substitution matrix. As the ``Array`` class is a subclass of a numpy array, mathematical operations can be applied to it directly, and C code that makes use of substitution matrices can directly access the numerical values stored in the substitution matrices. This module is intended as a replacement of ``Bio.SubsMat``, which is currently unmaintained. As in recent releases, more of our code is now explicitly available under either our original "Biopython License Agreement", or the very similar but more commonly used "3-Clause BSD License". See the ``LICENSE.rst`` file for more details. Additionally, a number of small bugs and typos have been fixed with further additions to the test suite, and there has been further work to follow the Python PEP8, PEP257 and best practice standard coding style. We have also started to use the ``black`` Python code formatting tool. @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.3 2021/10/26 10:03:43 nia Exp $ d3 3 a5 3 BLAKE2s (biopython-1.79.tar.gz) = ec26a4018cb514124d11a3c1beed6c995738b2016f044e2e3ca9691fe01dc44a SHA512 (biopython-1.79.tar.gz) = 81e2718f4015bb038637b4d1181e6bea48018fec1e769c5f0ab75442a769336899191f1222e82e1b9569c1fac470500d7582420e5cbe9bce0056b41751adeaaa Size (biopython-1.79.tar.gz) = 16738730 bytes @ 1.3 log @biology: Replace RMD160 checksums with BLAKE2s checksums All checksums have been double-checked against existing RMD160 and SHA512 hashes @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.2 2021/10/07 13:19:42 nia Exp $ d3 3 a5 3 BLAKE2s (biopython-1.74.tar.gz) = 1286b1f5ac5faacc86861bdca352a36c0f0b188d361f6c72955d7d16955f3310 SHA512 (biopython-1.74.tar.gz) = a5611b993e383d76d2fdc9be22481624180748f06f107e603a062c51b7ca7cf8603d6d97e11d64cd011ae7bd2696c8bf3659b9c625c84c479164a6171d5e8415 Size (biopython-1.74.tar.gz) = 16129257 bytes @ 1.2 log @biology: Remove SHA1 hashes for distfiles @ text @d1 1 a1 1 $NetBSD: distinfo,v 1.1 2019/08/09 21:52:34 brook Exp $ d3 1 a3 1 RMD160 (biopython-1.74.tar.gz) = c9b2130d895ecea30e37bdd71524ad7c6ea1db2d @ 1.1 log @py-biopython: initial commit The Biopython package contains high-quality, reusable modules and scripts written in Python to make it as easy as possible to use Python for bioinformatics. The Biopython includes the follwing: the ability to parse bioinformatics files into python utilizable data structures, including support for the formats such as Blast output, Clustalw, FASTA, GenBank, PubMed and Medicine, various Expasy files, SCOP, Rebase, UniGene, and SwissProt. @ text @d1 1 a1 1 $NetBSD$ a2 1 SHA1 (biopython-1.74.tar.gz) = 75b6b7f6f70220c984bc55d63145fea21b84387b @