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Bioinformatics
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===Literature analysis=== {{main|Text mining|Biomedical text mining}} The enormous number of published literature makes it virtually impossible for individuals to read every paper, resulting in disjointed sub-fields of research. Literature analysis aims to employ computational and statistical linguistics to mine this growing library of text resources. For example: * Abbreviation recognition – identify the long-form and abbreviation of biological terms * [[Named-entity recognition]] – recognizing biological terms such as gene names * Protein–protein interaction – identify which [[protein]]s interact with which proteins from text The area of research draws from [[statistics]] and [[computational linguistics]].
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