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无脊椎动物比较基因表达数据库。

A comparative gene expression database for invertebrates.

机构信息

Kewalo Marine Laboratory, PBRC, University of Hawaii at Manoa, 41, Ahui Street, Honolulu, 96734, HI, USA.

出版信息

Evodevo. 2011 Aug 24;2:17. doi: 10.1186/2041-9139-2-17.

Abstract

BACKGROUND

As whole genome and transcriptome sequencing gets cheaper and faster, a great number of 'exotic' animal models are emerging, rapidly adding valuable data to the ever-expanding Evo-Devo field. All these new organisms serve as a fantastic resource for the research community, but the sheer amount of data, some published, some not, makes detailed comparison of gene expression patterns very difficult to summarize - a problem sometimes even noticeable within a single lab. The need to merge existing data with new information in an organized manner that is publicly available to the research community is now more necessary than ever.

DESCRIPTION

In order to offer a homogenous way of storing and handling gene expression patterns from a variety of organisms, we have developed the first web-based comparative gene expression database for invertebrates that allows species-specific as well as cross-species gene expression comparisons. The database can be queried by gene name, developmental stage and/or expression domains.

CONCLUSIONS

This database provides a unique tool for the Evo-Devo research community that allows the retrieval, analysis and comparison of gene expression patterns within or among species. In addition, this database enables a quick identification of putative syn-expression groups that can be used to initiate, among other things, gene regulatory network (GRN) projects.

摘要

背景

随着全基因组和转录组测序变得越来越便宜和快速,大量“外来”动物模型不断涌现,为不断扩展的进化发育生物学领域迅速提供了有价值的数据。所有这些新的生物体都是研究界的宝贵资源,但数据量庞大,有些已发表,有些尚未发表,使得详细比较基因表达模式变得非常困难——即使在单个实验室中也能注意到这个问题。现在,将现有数据与新信息以一种组织有序的方式合并,并将其公开提供给研究界,比以往任何时候都更加必要。

描述

为了提供一种统一的方式来存储和处理来自各种生物体的基因表达模式,我们开发了第一个基于网络的用于无脊椎动物的比较基因表达数据库,允许进行物种特异性和跨物种的基因表达比较。该数据库可以通过基因名称、发育阶段和/或表达域进行查询。

结论

该数据库为进化发育生物学研究界提供了一个独特的工具,允许在物种内或物种间检索、分析和比较基因表达模式。此外,该数据库还能够快速识别可能的共表达组,可用于启动基因调控网络 (GRN) 等项目。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe0d/3180427/07096badd70d/2041-9139-2-17-1.jpg

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