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Biogem: an effective tool-based approach for scaling up open source software development in bioinformatics

Biogem : 为在生物信息学在开放源代码软件开发上面可伸缩的一条有效基于工具的途径

作     者:Bonnal, Raoul J. P. Aerts, Jan Githinji, George Goto, Naohisa MacLean, Dan Miller, Chase A. Mishima, Hiroyuki Pagani, Massimiliano Ramirez-Gonzalez, Ricardo Smant, Geert Strozzi, Francesco Syme, Rob Vos, Rutger Wennblom, Trevor J. Woodcroft, Ben J. Katayama, Toshiaki Prins, Pjotr 

作者机构:Ist Nazl Genet Mol Integrat Biol Program I-20122 Milan Italy Univ Leuven ESAT SCD Fac Engn B-3001 Louvain Belgium Univ Leuven IBBT Future Hlth Dept B-3001 Louvain Belgium KEMRI Wellcome Trust Res Program Parasitol & Immunol Dept Kilifi 80108 Kenya Osaka Univ Dept Genome Informat Genome Informat Res Ctr Microbial Dis Res Inst Suita Osaka 5650871 Japan Norwich Res Pk Sainsbury Lab Norwich NR4 7UH Norfolk England Boston Coll Dept Biol Chestnut Hill MA 02467 USA Nagasaki Univ Dept Human Genet Grad Sch Biomed Sci Nagasaki 852852 Japan Genome Anal Ctr Norwich NR4 7UH Norfolk England Wageningen Univ Nematol Lab NL-6708 PB Wageningen Netherlands Parco Tecnol Padano CeRSA I-26900 Lodi Italy Curtin Univ Dept Environm & Agr Perth WA 6102 Australia NCB Naturalis NL-2300 RA Leiden Netherlands Silicon Life Sci Minneapolis MN 55406 USA Univ Melbourne Dept Biochem & Mol Biol Melbourne Vic 3010 Australia Univ Tokyo Ctr Human Genome Inst Med Sci Tokyo 1080071 Japan 

出 版 物:《BIOINFORMATICS》 (生物信息学)

年 卷 期:2012年第28卷第7期

页      面:1035-1037页

核心收录:

学科分类:0710[理学-生物学] 08[工学] 0714[理学-统计学(可授理学、经济学学位)] 0836[工学-生物工程] 0812[工学-计算机科学与技术(可授工学、理学学位)] 

基  金:Research Council KUL SymBioSys Flemish Government IBBT [PFV/10/016] Netherlands Organisation for Scientific Research/TTI Green Genetics [1CC029RP] Japan Society for the Promotion of Science EC Grants-in-Aid for Scientific Research Funding Source: KAKEN 

主  题:COMPUTER software development BIOINFORMATICS PROGRAMMING languages (Electronic computers) OPEN source software DATA integration (Computer science) WEB (Computer program language) 

摘      要:Biogem provides a software development environment for the Ruby programming language, which encourages community-based software development for bioinformatics while lowering the barrier to entry and encouraging best practices. Biogem, with its targeted modular and decentralized approach, software generator, tools and tight web integration, is an improved general model for scaling up collaborative open source software development in bioinformatics.

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