Mangalam Harry
tacg Informatics, Irvine, CA 92612, USA.
Brief Bioinform. 2002 Sep;3(3):296-302. doi: 10.1093/bib/3.3.296.
Bioinformatics research is often difficult to do with commercial software. The Open Source BioPerl, BioPython and Biojava projects provide toolkits with multiple functionality that make it easier to create customised pipelines or analysis. This review briefly compares the quirks of the underlying languages and the functionality, documentation, utility and relative advantages of the Bio counterparts, particularly from the point of view of the beginning biologist programmer.
生物信息学研究通常很难用商业软件来进行。开源的BioPerl、BioPython和Biojava项目提供了具有多种功能的工具包,使得创建定制化流程或分析变得更加容易。这篇综述简要比较了基础语言的特点以及Bio相关工具在功能、文档、实用性和相对优势方面的情况,特别是从初涉生物信息学编程的生物学家的角度。