title: Identification of human proteins using the linguist's tools.
abstract: The symbolic sequences of the exons that make human proteins are subjected to methods of statistical linguistics. The ideas developed for the natural languages by G. K. Zipf, when applied to these sequences, show significant promise. In particular, we argue, the Zipf's exponent differentiates, and hence, identifies disparate human sequences.
authors.affiliation: Department of Theoretical Physics, Indian Association for the Cultivation of Science, Calcutta 700 032.
authors.forename: S
authors.initials: S
authors.lastname: Chattopadhyay
authors.forename: J
authors.initials: J
authors.lastname: Chakrabarti
authors.forename: D
authors.initials: D
authors.lastname: Bandyopadhyay
authors.forename: A
authors.initials: A
authors.lastname: Som
mesh_terms: D004247:DNA / Q000737:chemistry / Q000235:genetics; D016208:Databases, Factual; D005091:Exons; D006801:Humans; D015233:Models, Statistical; D011506:Proteins / Q000737:chemistry* / Q000145:classification* / Q000235:genetics; D012984:Software
chemical_list: D011506:Proteins; D004247:DNA