Biotite documentation

The Biotite package bundles popular tasks in computational molecular biology into a unifying Python framework. It can handle a major part of the molecular biology workflow for sequence and biomolecular structure data:

  • Fetching data from biological databases

  • Loading data from structure/sequence files

  • Analyzing and editing the data

  • Saving the data back to file

  • Interfacing external applications

The internal structure and sequence representations are based on NumPy ndarray objects. Vectorization and Cython based C-extensions render most operations highly efficient.

Additionally, the package aims for simple usability and extensibility: The objects representing structures and sequences can be indexed and sliced like a ndarray. Even the actual internal ndarray instances are easily accessible allowing advanced users to implement their own algorithms upon the existing types.

If you use Biotite in a scientific publication, please cite:

Kunzmann, P. & Hamacher, K. BMC Bioinformatics (2018) 19:346.

Sequence subpackage

This subpackage contains functionality for working with sequence information of any kind. The package contains by default sequence types for nucleotides and proteins, but the alphabet-based implementation allows simple integration of own sequence types, even if they do not rely on letters. Besides the standard I/O operations, the package includes general purpose functions for sequence manipulations and global/local alignments. On top of the actual sequence data, the subpackage can also handle sequence features, to annotate your sequences with the respective functionality. Eventually, the data can be visualized in different Matplotlib based representations, ranging from sequence alignments to feature maps.

_images/sphx_glr_hcn_hydropathy_001.png _images/sphx_glr_avidin_alignment_001.png

Structure subpackage

This subpackage enables handling of 3D structures of biomolecules. Simplified, a structure is represented by a list of atoms and their properties, based on ndarray objects. Optionally, this representation can be enriched with chemical bond information. Biotite supports different structure formats, including the ones provided by the RCSB and Gromacs trajectory formats. The subpackage offers a wide range of functions for atom filtering, coordinate transformations, angle and bond measurements, accessible surface area calculation, structure superimposition and more.

_images/sphx_glr_ramachandran_001.png _images/sphx_glr_adjacency_matrix_001.png

Application subpackage

This subpackage provides interfaces for external software, in case Biotite’s integrated functionality is not sufficient for your tasks. These interfaces range from locally installed software (e.g. MSA software) to web apps (e.g. BLAST). The speciality is that the interfaces are seamless: You do not have to write input files and read output files, you only have to input Python objects and you get Python objects. It is basically very similar to using normal Python functions.

_images/sphx_glr_lexa_conservation_001.png _images/sphx_glr_transketolase_sse_004.png

Database subpackage

This subpackage is all about searching in and downloading data from biological databases, including the probably most important ones: the RCSB PDB and the NCBI Entrez database.