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• W2808051750 abstract "Significance The vast, mostly unknown protein universe can be explored by analyzing protein sequences as a string of domains. A broader coverage can be achieved when these domains, the essential blocks in protein evolution, are detected using sequence profiles. Using clustering to collapse redundant profiles into unique function words (UFWs), we find that over the years 2009–2016, the number of UFWs saturates while the number of sequences matched by a combination of two or more UFWs grows exponentially." @default.
• W2808051750 created "2018-06-21" @default.
• W2808051750 creator A5008297212 @default.
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• W2808051750 date "2018-06-12" @default.
• W2808051750 modified "2023-09-27" @default.
• W2808051750 title "Unique function words characterize genomic proteins" @default.
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• W2808051750 doi "https://doi.org/10.1073/pnas.1801182115" @default.
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