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SAPP:通过使用 FAIR 原则的语义框架进行功能基因组注释和分析。

SAPP: functional genome annotation and analysis through a semantic framework using FAIR principles.

机构信息

Laboratory of Systems and Synthetic Biology, Wageningen University & Research, Wageningen 6708 WE, The Netherlands.

LifeGlimmer GmbH, 12163 Berlin, Germany.

出版信息

Bioinformatics. 2018 Apr 15;34(8):1401-1403. doi: 10.1093/bioinformatics/btx767.

Abstract

SUMMARY

To unlock the full potential of genome data and to enhance data interoperability and reusability of genome annotations we have developed SAPP, a Semantic Annotation Platform with Provenance. SAPP is designed as an infrastructure supporting FAIR de novo computational genomics but can also be used to process and analyze existing genome annotations. SAPP automatically predicts, tracks and stores structural and functional annotations and associated dataset- and element-wise provenance in a Linked Data format, thereby enabling information mining and retrieval with Semantic Web technologies. This greatly reduces the administrative burden of handling multiple analysis tools and versions thereof and facilitates multi-level large scale comparative analysis.

AVAILABILITY AND IMPLEMENTATION

SAPP is written in JAVA and freely available at https://gitlab.com/sapp and runs on Unix-like operating systems. The documentation, examples and a tutorial are available at https://sapp.gitlab.io.

CONTACT

jasperkoehorst@gmail.com or peter.schaap@wur.nl.

摘要

摘要

为了充分挖掘基因组数据的潜力,增强基因组注释的数据互操作性和可重用性,我们开发了 SAPP,这是一个具有出处的语义注释平台。SAPP 被设计为支持 FAIR 的从头开始计算基因组学的基础设施,但也可以用于处理和分析现有的基因组注释。SAPP 自动预测、跟踪和存储结构和功能注释,并以链接数据格式存储相关数据集和元素级出处,从而能够使用语义 Web 技术进行信息挖掘和检索。这大大减轻了处理多个分析工具及其版本的管理负担,并促进了多层次的大规模比较分析。

可用性和实现

SAPP 是用 JAVA 编写的,可在 https://gitlab.com/sapp 上免费获得,并在类 Unix 操作系统上运行。文档、示例和教程可在 https://sapp.gitlab.io 上获得。

联系方式

jasperkoehorst@gmail.competer.schaap@wur.nl

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4766/5905645/5c4e3619d2e2/btx767f1.jpg

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