BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata.

BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata.
复制标题

DOI:
10.1093/nar/gkr1163
复制
发表时间:
2012-01
影响因子:
14.9
通讯作者:
Ostell J
Ostell J
中科院分区:
生物学2区
文献类型:
--
作者:
Barrett T;Clark K;Gevorgyan R;Gorelenkov V;Gribov E;Karsch-Mizrachi I;Kimelman M;Pruitt KD;Resenchuk S;Tatusova T;Yaschenko E;Ostell J

文献摘要

参考文献

被引文献

相似文献

随着 NCBI 存档的数据集的数量和复杂性迅速增长,收集和组织相关元数据的需求也在迅速增长。尽管已经为一些档案数据库收集了元数据,但以前,NCBI 没有集中的方法来收集这些信息并跨数据库使用它。 BioProject 数据库最近成立,旨在促进提交给 NCBI、EBI 和 DDBJ 数据库的项目数据的组织和分类。它捕获有关导致大量提交到档案数据库的研究项目的描述性信息,将多个档案馆的相关数据联系在一起,并作为一个中央门户来通知用户数据的可用性。与此同时,BioSample 数据库正在开发中,以捕获项目中研究的生物样本的描述性信息。 BioProject 和 BioSample 记录链接到档案存储库中存储的相应数据。基于网络的提交门户支持提交,该门户引导用户通过一系列表单输入描述其项目和示例的丰富元数据。这些数据库共同为用户提供了查询、定位、集成和解释 NCBI 档案存储库中的大量数据的改进方法。 BioProject 和 BioSample 数据库分别可从 http://www.ncbi.nlm.nih.gov/bioproject 和 http://www.ncbi.nlm.nih.gov/biosample 获取。
As the volume and complexity of data sets archived at NCBI grow rapidly, so does the need to gather and organize the associated metadata. Although metadata has been collected for some archival databases, previously, there was no centralized approach at NCBI for collecting this information and using it across databases. The BioProject database was recently established to facilitate organization and classification of project data submitted to NCBI, EBI and DDBJ databases. It captures descriptive information about research projects that result in high volume submissions to archival databases, ties together related data across multiple archives and serves as a central portal by which to inform users of data availability. Concomitantly, the BioSample database is being developed to capture descriptive information about the biological samples investigated in projects. BioProject and BioSample records link to corresponding data stored in archival repositories. Submissions are supported by a web-based Submission Portal that guides users through a series of forms for input of rich metadata describing their projects and samples. Together, these databases offer improved ways for users to query, locate, integrate and interpret the masses of data held in NCBI's archival repositories. The BioProject and BioSample databases are available at http://www.ncbi.nlm.nih.gov/bioproject and http://www.ncbi.nlm.nih.gov/biosample, respectively.
DOI: 10.1093/nar/gkq1079
发表时间: 2011-01
影响因子: 14.9
作者:
Benson DA;Karsch-Mizrachi I;Lipman DJ;Ostell J;Sayers EW
通讯作者: Sayers EW
DOI: 10.1093/nar/gkr937
发表时间: 2012-01
影响因子: 14.9
作者:
Gostev M;Faulconbridge A;Brandizi M;Fernandez-Banet J;Sarkans U;Brazma A;Parkinson H
通讯作者: Parkinson H
DOI: 10.1056/nejmoa1106920
发表时间: 2011-08-25
期刊: The New England journal of medicine
影响因子: --
作者:
Rasko DA;Webster DR;Sahl JW;Bashir A;Boisen N;Scheutz F;Paxinos EE;Sebra R;Chin CS;Iliopoulos D;Klammer A;Peluso P;Lee L;Kislyuk AO;Bullard J;Kasarskis A;Wang S;Eid J;Rank D;Redman JC;Steyert SR;Frimodt-Møller J;Struve C;Petersen AM;Krogfelt KA;Nataro JP;Schadt EE;Waldor MK
通讯作者: Waldor MK
DOI: 10.1186/1471-2105-5-130
发表时间: 2004-09-09
期刊: BMC bioinformatics
影响因子: 3
作者:
Jung S;Jesudurai C;Staton M;Du Z;Ficklin S;Cho I;Abbott A;Tomkins J;Main D
通讯作者: Main D
DOI: 10.1038/nbt.1823
发表时间: 2011-05
影响因子: 46.9
作者:
通讯作者: --