Biopython: freely available Python tools for computational molecular biology and bioinformatics. Biopython is a set of freely available tools for biological computation written in Python by an international team of developers. It is a distributed collaborative effort to develop Python libraries and applications which address the needs of current and future work in bioinformatics. The source code is made available under the Biopython License, which is extremely liberal and compatible with almost every license in the world. We work along with the Open Bioinformatics Foundation, who generously host our website, bug tracker, and mailing lists.
Keywords for this software
References in zbMATH (referenced in 8 articles )
Showing results 1 to 8 of 8.
- Song, Jiangning; Li, Fuyi; Takemoto, Kazuhiro; Haffari, Gholamreza; Akutsu, Tatsuya; Chou, Kuo-Chen; Webb, Geoffrey I.: PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework (2018)
- Keith, Jonathan M. (ed.): Bioinformatics. Volume I. Data, sequence analysis, and evolution (2017)
- Carugo, Oliviero (ed.); Eisenhaber, Frank (ed.): Data mining techniques for the life sciences (2016)
- Kasabov, Nikola (ed.): Springer handbook of bio-/neuro-informatics (2014)
- List, Johann-Mattis: SCA: phonetic alignment based on sound classes (2012) ioport
- Giraud, Mathieu; Varré, Jean-Stéphane: Parallel position weight matrices algorithms (2011) ioport
- Burkowski, Forbes J.: Structural bioinformatics. An algorithmic approach (2009)
- Cock, Peter J. A.; Antao, Tiago; Chang, Jeffrey T.; Chapman, Brad A.; Cox, Cymon J.; Dalke, Andrew; Friedberg, Iddo; Hamelryck, Thomas; Kauff, Frank; Wilczynski, Bartek; De Hoon, Michiel J. L.: Biopython: freely available python tools for computational molecular biology and bioinformatics (2009) ioport