A strategy capitalizing on synergies: The Reporting Structure for Biological Investigation (RSBI) working group
A strategy capitalizing on synergies: The Reporting Structure for Biological Investigation (RSBI) working group
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DOI：
10.1089/omi.2006.10.164
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发表时间：
2006-06-01
影响因子：
3.3
通讯作者：
Jones, Andrew R.
中科院分区：
文献类型：
--
作者：
Sansone, Susanna-Assunta;Rocca-Serra, Philippe;Jones, Andrew R.
在本文中，我们介绍了生物研究报告结构 (RSBI)，这是微阵列基因表达数据 (MGED) 协会旗下的一个工作组。 RSBI 将多个社区聚集在一起，利用多种 OMICS 技术来应对与整合数据和代表复杂的生物研究相关的挑战。目前，RSBI 包括环境基因组学、营养基因组学和毒物基因组学社区，这些社区正在进行独立活动，以开发数据库并在各自领域内建立数据通信标准。 RSBI 工作组被认为是这些社区的“单一焦点”，符合普遍接受的观点，即应尽可能避免重复和不兼容。这一努力的目的是将孤立的解决方案整合为生物驱动的标准化工作之间的一个通用术语，并在技术领域的人们之间建立了强有力的合作和共同的理解。通过与许多标准工作的广泛联系，已经编织了几条线索，希望最终以技术为中心的标准及其对感兴趣的生物领域的具体扩展不仅是独立的，而且还能够作为可互换的模块一起发挥作用。本文是 OMICS 关于数据处理的特刊的一部分。
In this article we present the Reporting Structure for Biological Investigation (RSBI), a working group under the Microarray Gene Expression Data (MGED) Society umbrella. RSBI brings together several communities to tackle the challenges associated with integrating data and representing complex biological investigations, employing multiple OMICS technologies. Currently, RSBI includes environmental genomics, nutrigenomics and toxicogenomics communities, where independent activities are underway to develop databases and establish data communication standards within their respective domains. The RSBI working group has been conceived as a "single point of focus" for these communities, conforming to general accepted view that duplication and incompatibility should be avoided where possible. This endeavour has aimed to synergize insular solutions into one common terminology between biologically driven standardisation efforts and has also resulted in strong collaborations and shared understanding between those in the technological domain. Through extensive liaisons with many standards efforts, several threads have been woven with the hope that ultimately technology-centered standards and their specific extensions into biological domains of interest will not only stand alone, but will also be able to function together, as interchangeable modules.This paper is part of the special issue of OMICS on data processing.