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形态库:云端的系统发育表型组学

MorphoBank: phylophenomics in the "cloud".

作者信息

O'Leary Maureen A, Kaufman Seth

机构信息

Department of Anatomical Sciences, HSC T-8 (040), Stony Brook University, Stony Brook, NY 11794-8081, USA.

Whirl-i-Gig, 220 5th Street, Greenport, NY 11944, USA.

出版信息

Cladistics. 2011 Oct;27(5):529-537. doi: 10.1111/j.1096-0031.2011.00355.x. Epub 2011 Apr 28.

Abstract

A highly interoperable informatics infrastructure rapidly emerged to handle genomic data used for phylogenetics and was instrumental in the growth of molecular systematics. Parallel growth in software and databases to address needs peculiar to phylophenomics has been relatively slow and fragmented. Systematists currently face the challenge that Earth may hold tens of millions of species (living and fossil) to be described and classified. Grappling with research on this scale has increasingly resulted in work by teams, many constructing large phenomic supermatrices. Until now, phylogeneticists have managed data in single-user, file-based desktop software wholly unsuitable for real-time, team-based collaborative work. Furthermore, phenomic data often differ from genomic data in readily lending themselves to media representation (e.g. 2D and 3D images, video, sound). Phenomic data are a growing component of phylogenetics, and thus teams require the ability to record homology hypotheses using media and to share and archive these data. Here we describe MorphoBank, a web application and database leveraging software as a service methodology compatible with "cloud" computing technology for the construction of matrices of phenomic data. In its tenth year, and fully available to the scientific community at-large since inception, MorphoBank enables interactive collaboration not possible with desktop software, permitting self-assembling teams to develop matrices, in real time, with linked media in a secure web environment. MorphoBank also provides any user with tools to build character and media ontologies (rule sets) within matrices, and to display these as directed acyclic graphs. These rule sets record the phylogenetic interrelatedness of characters (e.g. if X is absent, Y is inapplicable, or X-Z characters share a media view). MorphoBank has enabled an order of magnitude increase in phylophenomic data collection: a recent collaboration by more than 25 researchers has produced a database of > 4500 phenomic characters supported by > 10 000 media. © The Willi Hennig Society 2011.

摘要

一种高度可互操作的信息学基础设施迅速出现,以处理用于系统发育学的基因组数据,并对分子系统学的发展起到了推动作用。针对系统发育表型组学的特殊需求,软件和数据库的并行发展相对缓慢且分散。分类学家目前面临的挑战是,地球上可能有数以千万计的物种(现存的和化石)有待描述和分类。应对如此规模的研究越来越多地需要团队协作,许多团队构建了大型表型组超级矩阵。到目前为止,系统发育学家一直使用基于文件的单用户桌面软件来管理数据,这种软件完全不适合实时的、基于团队的协作工作。此外,表型组数据在便于进行媒体呈现(如二维和三维图像、视频、声音)方面往往与基因组数据不同。表型组数据在系统发育学中所占比重日益增加,因此团队需要能够使用媒体记录同源性假设,并共享和存档这些数据。在此,我们介绍MorphoBank,这是一个网络应用程序和数据库,它利用软件即服务的方法,与“云”计算技术兼容,用于构建表型组数据矩阵。自成立以来,MorphoBank已运营十年,向广大科学界全面开放,它实现了桌面软件无法实现的交互式协作,使自组织团队能够在安全的网络环境中实时开发带有链接媒体的矩阵。MorphoBank还为任何用户提供工具,以便在矩阵中构建特征和媒体本体(规则集),并将其显示为有向无环图。这些规则集记录了特征的系统发育相关性(例如,如果X不存在,Y不适用,或者X - Z特征共享一个媒体视图)。MorphoBank使系统发育表型组数据收集量增加了一个数量级:最近由25多名研究人员合作创建了一个数据库,其中包含超过4500个表型组特征,并得到了超过10000个媒体的支持。© 威利·亨尼希协会2011年。

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