ArrayExpress update-trends in database growth and links to data analysis tools
Autor: | Emma Hastings, Nikolay Kolesnikov, Tony Burdett, Annalisa Mupo, Ugis Sarkans, Helen Parkinson, Jon Ison, Alvis Brazma, Danielle Welter, Roby Mani, Y. Amy Tang, Anjan Sharma, James Malone, Natalja Kurbatova, Gabriella Rustici, Anna Farne, Ibrahim Emam, Tobias Ternent, Ekaterina Pilicheva, Marco Brandizi, Miroslaw Dylag, Maria Keays, Rui Pedro Pereira, Johan Rung, Andrew Tikhonov, Eleanor Williams |
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Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: |
Gene expression omnibus
0303 health sciences Internet Information retrieval Sequencing data High-Throughput Nucleotide Sequencing Genomics Articles Biology Bioinformatics Microarray Analysis Bioconductor 03 medical and health sciences User-Computer Interface 0302 clinical medicine 030220 oncology & carcinogenesis Databases Genetic Genetics Analysis tools Functional genomics Software 030304 developmental biology |
Zdroj: | Nucleic Acids Research; Vol 41 Nucleic Acids Research |
ISSN: | 1362-4962 |
DOI: | 10.1093/nar/gks1174 |
Popis: | 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. |
Databáze: | OpenAIRE |
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