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Sequence databases growth

Recent years have seen an explosive growth in biological data, which is often no longer published in a conventional sense, but deposited in a database. Sequence data from megasequencing projects may not even be linked to a conventional publication. This trend and the need for computational analyses of the data have made databases essential tools for biological research. [Pg.31]

See other pages where Sequence databases growth is mentioned: [Pg.547]    [Pg.42]    [Pg.496]    [Pg.46]    [Pg.496]    [Pg.338]    [Pg.533]    [Pg.403]    [Pg.531]    [Pg.66]    [Pg.188]    [Pg.198]    [Pg.73]    [Pg.5]    [Pg.301]    [Pg.96]    [Pg.262]    [Pg.288]    [Pg.181]    [Pg.436]    [Pg.248]    [Pg.50]    [Pg.513]    [Pg.543]    [Pg.439]    [Pg.204]    [Pg.38]    [Pg.273]    [Pg.437]    [Pg.15]    [Pg.218]    [Pg.497]    [Pg.173]    [Pg.15]    [Pg.409]    [Pg.12]    [Pg.21]    [Pg.170]    [Pg.399]    [Pg.106]    [Pg.2078]    [Pg.50]    [Pg.20]    [Pg.46]    [Pg.160]    [Pg.259]    [Pg.170]   
See also in sourсe #XX -- [ Pg.66 ]



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