ArrayExpress update—simplifying data submissions

N. N. Kolesnikov(European Bioinformatics Institute), Emma Hastings(Wellcome Trust), Maria Keays(European Bioinformatics Institute), Olga Melnichuk(European Bioinformatics Institute), Amy Tang(European Bioinformatics Institute), Eleanor Williams(Wellcome Trust), Miroslaw Dylag(Wellcome Trust), Natalja Kurbatova(Wellcome Trust), Marco Brandizi(Wellcome Trust), Tony Burdett(European Bioinformatics Institute), Karyn Mégy(Wellcome Trust), Ekaterina Pilicheva(Wellcome Trust), Gabriella Rustici(Wellcome Trust), Andrew Tikhonov(European Bioinformatics Institute), Helen Parkinson(Wellcome Trust), Robert Petryszak(Wellcome Trust), Uğis Sarkans(European Bioinformatics Institute), Alvis Brāzma(European Bioinformatics Institute)
Nucleic Acids Research
October 31, 2014
Cited by 733Open Access
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Abstract

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.


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