ArrayExpress update-trends in database growth and links to data analysis tools

作者：Rustici Gabriella^*; Kolesnikov Nikolay; Brandizi Marco; Burdett Tony; Dylag Miroslaw; Emam Ibrahim; Farne Anna; Hastings Emma; Ison Jon; Keays Maria; Kurbatova Natalja; Malone James; Mani Roby; Mupo Annalisa; Pereira Rui Pedro; Pilicheva Ekaterina; Rung Johan; Sharma Anjan; Tang Y Amy; Ternent Tobias; Tikhonov Andrew; Welter Danielle; Williams Eleanor; Brazma Alvis; Parkinson Helen; Sarkans Ugis

来源：Nucleic Acids Research, 2013, 41(D1): D987-D990.

DOI：10.1093/nar/gks1174

The ArrayExpress Archive of Functional Genomics Data (http://www.ebi.ac.uk/arrayexpress) is one of three international functional genomics public data repositories, alongside the Gene Expression Omnibus at NCBI and the DDBJ Omics Archive, supporting peer-reviewed publications. It accepts data generated by sequencing or array-based technologies and currently contains data from almost a million assays, from over 30 000 experiments. The proportion of sequencing-based submissions has grown significantly over the last 2 years and has reached, in 2012, 15% of all new data. All data are available from ArrayExpress in MAGE-TAB format, which allows robust linking to data analysis and visualization tools, including Bioconductor and GenomeSpace. Additionally, R objects, for microarray data, and binary alignment format files, for sequencing data, have been generated for a significant proportion of ArrayExpress data.

• 出版日期2013-1