Biopython']python: freely available Python']Python tools for computational molecular biology and bioinformatics

被引:3394
作者
Cock, Peter J. A. [1 ]
Antao, Tiago [2 ]
Chang, Jeffrey T. [3 ]
Chapman, Brad A. [4 ]
Cox, Cymon J. [5 ]
Dalke, Andrew [6 ]
Friedberg, Iddo [7 ]
Hamelryck, Thomas [8 ]
Kauff, Frank [9 ]
Wilczynski, Bartek [10 ,11 ]
de Hoon, Michiel J. L. [12 ]
机构
[1] Scottish Crop Res Inst, Dundee DD2 5DA, Scotland
[2] Univ Liverpool Liverpool Sch Trop Med, Liverpool L3 5QA, Merseyside, England
[3] Duke Univ, Med Ctr, Inst Genome Sci & Policy, Durham, NC USA
[4] Massachusetts Gen Hosp, Dept Mol Biol, Simches Res Ctr, Boston, MA 02114 USA
[5] Univ Algarve, Ctr Ciencias Mar, Faro, Portugal
[6] Andrew Dalke Sci AB, Gothenburg, Sweden
[7] Univ Calif San Diego, Calif Inst Telecommun & Informat Technol, La Jolla, CA 92093 USA
[8] Univ Copenhagen, Dept Biol, Bioinformat Ctr, DK-2200 Copenhagen N, Denmark
[9] TU Kaiserslautern, Dept Biol, D-67653 Kaiserslautern, Germany
[10] European Mol Biol Lab, D-69117 Heidelberg, Germany
[11] Univ Warsaw, Inst Informat, PL-00325 Warsaw, Poland
[12] RIKEN, Om Sci Ctr, Tsurumi Ku, Yokohama, Kanagawa 2300045, Japan
关键词
D O I
10.1093/bioinformatics/btp163
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The Biopython project is a mature open source international collaboration of volunteer developers, providing Python libraries for a wide range of bioinformatics problems. Biopython includes modules for reading and writing different sequence. le formats and multiple sequence alignments, dealing with 3D macromolecular structures, interacting with common tools such as BLAST, ClustalW and EMBOSS, accessing key online databases, as well as providing numerical methods for statistical learning.
引用
收藏
页码:1422 / 1423
页数:2
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