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Heinz Wiesinger
63daf9f79a
All: Support $PRINT_PACKAGE_NAME env var
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| README | 70cfe3be3f academic/biopython: Added (Python tools for biological computation). | %!s(int64=4) %!d(string=hai) anos |
| References | 70cfe3be3f academic/biopython: Added (Python tools for biological computation). | %!s(int64=4) %!d(string=hai) anos |
| biopython.SlackBuild | 63daf9f79a All: Support $PRINT_PACKAGE_NAME env var | %!s(int64=2) %!d(string=hai) anos |
| biopython.info | d8f1bb0ca5 academic/biopython: update for version 1.78 + fix build with python3 | %!s(int64=3) %!d(string=hai) anos |
| slack-desc | 70cfe3be3f academic/biopython: Added (Python tools for biological computation). | %!s(int64=4) %!d(string=hai) anos |
README
The Biopython Project is an international association of developers of
freely available Python tools for computational molecular biology.
The Biopython web site provides an online resource for modules,
scripts, and web links for developers of Python-based software for
bioinformatics use and research. Basically, the goal of Biopython is
to make it as easy as possible to use Python for bioinformatics by
creating high-quality, reusable modules and classes. Biopython
features include parsers for various Bioinformatics file formats
(BLAST, Clustalw, FASTA, Genbank,...), access to online services
(NCBI, Expasy,...), interfaces to common and not-so-common programs
(Clustalw, DSSP, MSMS,...), a standard sequence class, various
clustering modules, a KD tree data structure etc. and even
documentation.
If you use Biopython in work contributing to a scientific publication,
please cite the application note (below) or one of the module specific
publications (listed on Biopython's website):
Cock, P.J.A. et al. Biopython: freely available Python tools for
computational molecular biology and bioinformatics. Bioinformatics
2009 Jun 1; 25(11) 1422-3
http://dx.doi.org/10.1093/bioinformatics/btp163 pmid:19304878
freely available Python tools for computational molecular biology.
The Biopython web site provides an online resource for modules,
scripts, and web links for developers of Python-based software for
bioinformatics use and research. Basically, the goal of Biopython is
to make it as easy as possible to use Python for bioinformatics by
creating high-quality, reusable modules and classes. Biopython
features include parsers for various Bioinformatics file formats
(BLAST, Clustalw, FASTA, Genbank,...), access to online services
(NCBI, Expasy,...), interfaces to common and not-so-common programs
(Clustalw, DSSP, MSMS,...), a standard sequence class, various
clustering modules, a KD tree data structure etc. and even
documentation.
If you use Biopython in work contributing to a scientific publication,
please cite the application note (below) or one of the module specific
publications (listed on Biopython's website):
Cock, P.J.A. et al. Biopython: freely available Python tools for
computational molecular biology and bioinformatics. Bioinformatics
2009 Jun 1; 25(11) 1422-3
http://dx.doi.org/10.1093/bioinformatics/btp163 pmid:19304878