The BioSample Database (BioSD) at the European Bioinformatics Institute.
The BioSample Database (BioSD) at the European Bioinformatics Institute.
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DOI：
10.1093/nar/gkr937
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发表时间：
2012-01
影响因子：
14.9
通讯作者：
Parkinson H
中科院分区：
文献类型：
--
作者：
Gostev M;Faulconbridge A;Brandizi M;Fernandez-Banet J;Sarkans U;Brazma A;Parkinson H
生物样本数据库（http://www.ebi.ac.uk/biosamples）是EBI的一个新数据库，用于存储用于分子实验的生物样本信息，如测序、基因表达或蛋白质组学。生物样本数据库的目标包括：(i)在EBI数据库（如ENA、ArrayExpress和PRIDE）中一致地记录和链接样本信息；（ii）通过允许一次性提交样品描述并在随后提交给分析数据库的数据中引用它们，从而最大限度地减少EBI数据库提交者的数据输入工作；（iii）支持通过样品特征进行跨数据库查询。数据库中的每个样本都被分配了一个加入号。该数据库包括一组不断增长的参考样本，如细胞系，这些样本在实验中被反复使用，并且可以通过其登录号轻松地从任何数据库中引用。参考样本的加入号将与NCBI的类似数据库交换。数据库中的样本可以通过其属性进行查询，例如样本类型、疾病名称或样本提供者。一个简单的以制表符分隔的格式便于向数据库提交样本信息，最初是通过电子邮件发送到biosamples@ebi.ac.uk
The BioSample Database (http://www.ebi.ac.uk/biosamples) is a new database at EBI that stores information about biological samples used in molecular experiments, such as sequencing, gene expression or proteomics. The goals of the BioSample Database include: (i) recording and linking of sample information consistently within EBI databases such as ENA, ArrayExpress and PRIDE; (ii) minimizing data entry efforts for EBI database submitters by enabling submitting sample descriptions once and referencing them later in data submissions to assay databases and (iii) supporting cross database queries by sample characteristics. Each sample in the database is assigned an accession number. The database includes a growing set of reference samples, such as cell lines, which are repeatedly used in experiments and can be easily referenced from any database by their accession numbers. Accession numbers for the reference samples will be exchanged with a similar database at NCBI. The samples in the database can be queried by their attributes, such as sample types, disease names or sample providers. A simple tab-delimited format facilitates submissions of sample information to the database, initially via email to biosamples@ebi.ac.uk
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影响因子：
14.9
作者：
Leinonen R;Akhtar R;Birney E;Bower L;Cerdeno-Tárraga A;Cheng Y;Cleland I;Faruque N;Goodgame N;Gibson R;Hoad G;Jang M;Pakseresht N;Plaister S;Radhakrishnan R;Reddy K;Sobhany S;Ten Hoopen P;Vaughan R;Zalunin V;Cochrane G
通讯作者：
Cochrane G
DOI：
10.1093/bioinformatics/btq415
发表时间：
2010-09-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Rocca-Serra P;Brandizi M;Maguire E;Sklyar N;Taylor C;Begley K;Field D;Harris S;Hide W;Hofmann O;Neumann S;Sterk P;Tong W;Sansone SA
通讯作者：
Sansone SA
影响因子：
14.9
作者：
Barrett T;Troup DB;Wilhite SE;Ledoux P;Evangelista C;Kim IF;Tomashevsky M;Marshall KA;Phillippy KH;Sherman PM;Muertter RN;Holko M;Ayanbule O;Yefanov A;Soboleva A
通讯作者：
Soboleva A
影响因子：
14.9
作者：
Parkinson H;Sarkans U;Kolesnikov N;Abeygunawardena N;Burdett T;Dylag M;Emam I;Farne A;Hastings E;Holloway E;Kurbatova N;Lukk M;Malone J;Mani R;Pilicheva E;Rustici G;Sharma A;Williams E;Adamusiak T;Brandizi M;Sklyar N;Brazma A
通讯作者：
Brazma A
DOI：
10.1093/bioinformatics/btq693
发表时间：
2011-02-15
期刊：
Bioinformatics (Oxford, England)
影响因子：
--
作者：
Gostev M;Fernandez-Banet J;Rung J;Dietrich J;Prokopenko I;Ripatti S;McCarthy MI;Brazma A;Krestyaninova M
通讯作者：
Krestyaninova M