Suppr超能文献

用于分子系统生物学的注释、映射、表达和网络(AMEN)工具套件。

The Annotation, Mapping, Expression and Network (AMEN) suite of tools for molecular systems biology.

作者信息

Chalmel Frédéric, Primig Michael

机构信息

Institut National de la Santé et de la Recherche Médicale Unité 625, Groupe d'Etude de la Reproduction chez l'Homme et les Mammifères, Institut Fédératif de Recherche 140, F-35042 Rennes, France.

出版信息

BMC Bioinformatics. 2008 Feb 6;9:86. doi: 10.1186/1471-2105-9-86.

Abstract

BACKGROUND

High-throughput genome biological experiments yield large and multifaceted datasets that require flexible and user-friendly analysis tools to facilitate their interpretation by life scientists. Many solutions currently exist, but they are often limited to specific steps in the complex process of data management and analysis and some require extensive informatics skills to be installed and run efficiently.

RESULTS

We developed the Annotation, Mapping, Expression and Network (AMEN) software as a stand-alone, unified suite of tools that enables biological and medical researchers with basic bioinformatics training to manage and explore genome annotation, chromosomal mapping, protein-protein interaction, expression profiling and proteomics data. The current version provides modules for (i) uploading and pre-processing data from microarray expression profiling experiments, (ii) detecting groups of significantly co-expressed genes, and (iii) searching for enrichment of functional annotations within those groups. Moreover, the user interface is designed to simultaneously visualize several types of data such as protein-protein interaction networks in conjunction with expression profiles and cellular co-localization patterns. We have successfully applied the program to interpret expression profiling data from budding yeast, rodents and human.

CONCLUSION

AMEN is an innovative solution for molecular systems biological data analysis freely available under the GNU license. The program is available via a website at the Sourceforge portal which includes a user guide with concrete examples, links to external databases and helpful comments to implement additional functionalities. We emphasize that AMEN will continue to be developed and maintained by our laboratory because it has proven to be extremely useful for our genome biological research program.

摘要

背景

高通量基因组生物学实验产生了庞大且多方面的数据集,这需要灵活且用户友好的分析工具,以便生命科学家进行解读。目前存在许多解决方案,但它们往往局限于数据管理和分析复杂过程中的特定步骤,并且有些需要具备广泛的信息学技能才能有效安装和运行。

结果

我们开发了注释、映射、表达和网络(AMEN)软件,它是一套独立的统一工具集,使接受过基础生物信息学培训的生物和医学研究人员能够管理和探索基因组注释、染色体映射、蛋白质 - 蛋白质相互作用、表达谱分析和蛋白质组学数据。当前版本提供了用于以下方面的模块:(i)上传和预处理来自微阵列表达谱实验的数据;(ii)检测显著共表达基因的组;(iii)在这些组中搜索功能注释的富集情况。此外,用户界面旨在同时可视化多种类型的数据,例如结合表达谱和细胞共定位模式的蛋白质 - 蛋白质相互作用网络。我们已成功应用该程序来解读来自芽殖酵母、啮齿动物和人类的表达谱数据。

结论

AMEN是一种用于分子系统生物学数据分析的创新解决方案,根据GNU许可免费提供。该程序可通过Sourceforge门户的网站获取,其中包括带有具体示例的用户指南、指向外部数据库的链接以及关于实现其他功能的有用注释。我们强调AMEN将继续由我们的实验室开发和维护,因为它已被证明对我们的基因组生物学研究计划极为有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2423/2375118/991ae8d6db70/1471-2105-9-86-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验