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首页> 外文期刊>BMC Bioinformatics >compomics-utilities: an open-source Java library for computational proteomics
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compomics-utilities: an open-source Java library for computational proteomics

机译:compomics-utilities:用于计算蛋白质组学的开源Java库

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Background The growing interest in the field of proteomics has increased the demand for software tools and applications that process and analyze the resulting data. And even though the purpose of these tools can vary significantly, they usually share a basic set of features, including the handling of protein and peptide sequences, the visualization of (and interaction with) spectra and chromatograms, and the parsing of results from various proteomics search engines. Developers typically spend considerable time and effort implementing these support structures, which detracts from working on the novel aspects of their tool. Results In order to simplify the development of proteomics tools, we have implemented an open-source support library for computational proteomics, called compomics-utilities. The library contains a broad set of features required for reading, parsing, and analyzing proteomics data. compomics-utilities is already used by a long list of existing software, ensuring library stability and continued support and development. Conclusions As a user-friendly, well-documented and open-source library, compomics-utilities greatly simplifies the implementation of the basic features needed in most proteomics tools. Implemented in 100% Java, compomics-utilities is fully portable across platforms and architectures. Our library thus allows the developers to focus on the novel aspects of their tools, rather than on the basic functions, which can contribute substantially to faster development, and better tools for proteomics.
机译:背景技术对蛋白质组学领域的兴趣日益增长,对处理和分析所得数据的软件工具和应用程序的需求也日益增加。尽管这些工具的用途可能有很大不同,但它们通常具有一组基本功能,包括蛋白质和肽序列的处理,光谱和色谱图的可视化(以及与之相互作用)以及各种蛋白质组学结果的解析搜索引擎。开发人员通常会花费大量的时间和精力来实施这些支持结构,这不利于开发其工具的新颖方面。结果为了简化蛋白质组学工具的开发,我们为计算蛋白质组学实现了开源支持库,称为库组学实用程序。该库包含读取,解析和分析蛋白质组学数据所需的广泛功能。大量现有软件已经使用了compomics-utilities,从而确保了库的稳定性以及持续的支持和开发。结论作为一个用户友好,文档完善的开放源代码库,comomics-utilities大大简化了大多数蛋白质组学工具所需的基本功能的实现。 compomics-utilities以100%Java实现,可跨平台和体系结构完全移植。因此,我们的库允许开发人员将精力集中在其工具的新颖方面,而不是基本的功能上,这些方面可以极大地促进更快的开发和更好的蛋白质组学工具。

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