ArrayExpress update--simplifying data submissions.

ArrayExpress update--simplifying data submissions.
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DOI:
10.1093/nar/gku1057
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发表时间:
2015-01
影响因子:
14.9
通讯作者:
Brazma A
Brazma A
中科院分区:
生物学2区
文献类型:
--
作者:
Kolesnikov N;Hastings E;Keays M;Melnichuk O;Tang YA;Williams E;Dylag M;Kurbatova N;Brandizi M;Burdett T;Megy K;Pilicheva E;Rustici G;Tikhonov A;Parkinson H;Petryszak R;Sarkans U;Brazma A

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功能基因组学数据的阵列表达档案(http://www.ebi.ac.uk/arrayexpress)是欧洲生物信息学研究所(EMBL-EBI)的国际功能基因组学数据库(大多数期刊),作为大多数期刊作为数据支持peer-peer-eper-peer-peer-eber-ebor-ebi to的数据支持。审查出版物。它包含来自7000多个公共测序和42000个基于阵列的研究的数据,总共包含超过150万种测定法。在过去的几年中,基于测序的提交的比例已显着增长,在过去的18个月中增加了一倍,而微阵列提交的比率却略有增长。 ArrayExpress中的所有数据均以法MAGE-TAB格式获得,该格式允许链接到数据分析和可视化工具以及标准化分析。过去两年中的主要发展是发布了新的数据提交工具Annotare,该工具减少了平均提交时间几乎3倍。在不久的将来,Annotare将与基于法师TAB格式的管道一起成为ArrayExpress的唯一提交路线。 ArrayExpress是一种稳定且高度访问的资源。我们未来的任务包括数据流的自动化以及与其他EMBL-EBI资源的进一步集成以表示多摩变数据。
The ArrayExpress Archive of Functional Genomics Data (http://www.ebi.ac.uk/arrayexpress) is an international functional genomics database at the European Bioinformatics Institute (EMBL-EBI) recommended by most journals as a repository for data supporting peer-reviewed publications. It contains data from over 7000 public sequencing and 42 000 array-based studies comprising over 1.5 million assays in total. The proportion of sequencing-based submissions has grown significantly over the last few years and has doubled in the last 18 months, whilst the rate of microarray submissions is growing slightly. All data in ArrayExpress are available in the MAGE-TAB format, which allows robust linking to data analysis and visualization tools and standardized analysis. The main development over the last two years has been the release of a new data submission tool Annotare, which has reduced the average submission time almost 3-fold. In the near future, Annotare will become the only submission route into ArrayExpress, alongside MAGE-TAB format-based pipelines. ArrayExpress is a stable and highly accessed resource. Our future tasks include automation of data flows and further integration with other EMBL-EBI resources for the representation of multi-omics data.
DOI: 10.1093/nar/gks1174
发表时间: 2013-01
影响因子: 14.9
作者:
Rustici G;Kolesnikov N;Brandizi M;Burdett T;Dylag M;Emam I;Farne A;Hastings E;Ison J;Keays M;Kurbatova N;Malone J;Mani R;Mupo A;Pedro Pereira R;Pilicheva E;Rung J;Sharma A;Tang YA;Ternent T;Tikhonov A;Welter D;Williams E;Brazma A;Parkinson H;Sarkans U
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发表时间: 2010-04-15
期刊: Bioinformatics (Oxford, England)
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作者:
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DOI: 10.1093/nar/gkt1270
发表时间: 2014-01
影响因子: 14.9
作者:
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DOI: 10.1093/nar/gkn765
发表时间: 2009-01
影响因子: 14.9
作者:
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通讯作者: Birney E