Buttigieg Pier Luigi, Ramette Alban
HGF-MPG Group for Deep Sea Ecology and Technology, Bremerhaven, Germany; Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany; MARUM Center for Marine Sciences, Bremen, Germany.
FEMS Microbiol Ecol. 2014 Dec;90(3):543-50. doi: 10.1111/1574-6941.12437. Epub 2014 Nov 5.
The application of multivariate statistical analyses has become a consistent feature in microbial ecology. However, many microbial ecologists are still in the process of developing a deep understanding of these methods and appreciating their limitations. As a consequence, staying abreast of progress and debate in this arena poses an additional challenge to many microbial ecologists. To address these issues, we present the GUide to STatistical Analysis in Microbial Ecology (GUSTA ME): a dynamic, web-based resource providing accessible descriptions of numerous multivariate techniques relevant to microbial ecologists. A combination of interactive elements allows users to discover and navigate between methods relevant to their needs and examine how they have been used by others in the field. We have designed GUSTA ME to become a community-led and -curated service, which we hope will provide a common reference and forum to discuss and disseminate analytical techniques relevant to the microbial ecology community.
多元统计分析在微生物生态学中的应用已成为一个持续的特征。然而,许多微生物生态学家仍在深入理解这些方法并认识其局限性的过程中。因此,紧跟这一领域的进展和争论对许多微生物生态学家来说是一项额外的挑战。为解决这些问题,我们推出了《微生物生态学统计分析指南》(GUSTA ME):一个基于网络的动态资源,提供与微生物生态学家相关的众多多元技术的易懂描述。交互式元素的组合使用户能够发现并浏览与其需求相关的方法,并研究该领域其他人是如何使用这些方法的。我们将GUSTA ME设计成一项由社区主导和策划的服务,希望它能成为一个共同的参考和论坛,用于讨论和传播与微生物生态学社区相关的分析技术。