Title |
ArrayExpress update—simplifying data submissions
|
---|---|
Published in |
Nucleic Acids Research, October 2014
|
DOI | 10.1093/nar/gku1057 |
Pubmed ID | |
Authors |
Nikolay Kolesnikov, Emma Hastings, Maria Keays, Olga Melnichuk, Y. Amy Tang, Eleanor Williams, Miroslaw Dylag, Natalja Kurbatova, Marco Brandizi, Tony Burdett, Karyn Megy, Ekaterina Pilicheva, Gabriella Rustici, Andrew Tikhonov, Helen Parkinson, Robert Petryszak, Ugis Sarkans, Alvis Brazma |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 67% |
Switzerland | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 4 | <1% |
Netherlands | 3 | <1% |
United States | 3 | <1% |
Brazil | 2 | <1% |
Mexico | 2 | <1% |
Australia | 1 | <1% |
Portugal | 1 | <1% |
United Kingdom | 1 | <1% |
India | 1 | <1% |
Other | 5 | 1% |
Unknown | 407 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 107 | 25% |
Researcher | 86 | 20% |
Student > Master | 68 | 16% |
Student > Bachelor | 43 | 10% |
Student > Doctoral Student | 26 | 6% |
Other | 51 | 12% |
Unknown | 49 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 148 | 34% |
Biochemistry, Genetics and Molecular Biology | 100 | 23% |
Computer Science | 40 | 9% |
Medicine and Dentistry | 19 | 4% |
Engineering | 14 | 3% |
Other | 41 | 10% |
Unknown | 68 | 16% |