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基因组观测元数据库(GeOMe):一个用于存储与基因样本相关的野外和采样事件元数据的新库。

The Genomic Observatories Metadatabase (GeOMe): A new repository for field and sampling event metadata associated with genetic samples.

作者信息

Deck John, Gaither Michelle R, Ewing Rodney, Bird Christopher E, Davies Neil, Meyer Christopher, Riginos Cynthia, Toonen Robert J, Crandall Eric D

机构信息

Berkeley Natural History Museums, University of California, Berkeley, California, United States of America.

Hawaii Institute of Marine Biology, University of Hawaii, Kaneohe, Hawaii, United States of America.

出版信息

PLoS Biol. 2017 Aug 3;15(8):e2002925. doi: 10.1371/journal.pbio.2002925. eCollection 2017 Aug.

DOI:10.1371/journal.pbio.2002925
PMID:28771471
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5542426/
Abstract

The Genomic Observatories Metadatabase (GeOMe, http://www.geome-db.org/) is an open access repository for geographic and ecological metadata associated with biosamples and genetic data. Whereas public databases have served as vital repositories for nucleotide sequences, they do not accession all the metadata required for ecological or evolutionary analyses. GeOMe fills this need, providing a user-friendly, web-based interface for both data contributors and data recipients. The interface allows data contributors to create a customized yet standard-compliant spreadsheet that captures the temporal and geospatial context of each biosample. These metadata are then validated and permanently linked to archived genetic data stored in the National Center for Biotechnology Information's (NCBI's) Sequence Read Archive (SRA) via unique persistent identifiers. By linking ecologically and evolutionarily relevant metadata with publicly archived sequence data in a structured manner, GeOMe sets a gold standard for data management in biodiversity science.

摘要

基因组观测元数据库(GeOMe,http://www.geome-db.org/)是一个开放获取的资源库,用于存储与生物样本和遗传数据相关的地理和生态元数据。虽然公共数据库一直是核苷酸序列的重要存储库,但它们并未收录生态或进化分析所需的所有元数据。GeOMe满足了这一需求,为数据提供者和数据接收者提供了一个用户友好的基于网络的界面。该界面允许数据提供者创建一个定制的但符合标准的电子表格,以记录每个生物样本的时间和地理空间背景。然后,这些元数据将通过唯一的永久标识符进行验证,并与存储在美国国立生物技术信息中心(NCBI)序列读取存档库(SRA)中的存档遗传数据永久链接。通过以结构化方式将生态和进化相关的元数据与公开存档的序列数据相链接,GeOMe为生物多样性科学的数据管理树立了黄金标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5381/5542426/05ff4cbb49ba/pbio.2002925.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5381/5542426/82e601a100f1/pbio.2002925.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5381/5542426/05ff4cbb49ba/pbio.2002925.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5381/5542426/82e601a100f1/pbio.2002925.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5381/5542426/05ff4cbb49ba/pbio.2002925.g002.jpg

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