Publications by authors named "E Glattre"

In a recent article, we presented evidence demonstrating the existence of hidden y-stories within the genomes of humans and canines. These stories were found not only in the non-protein-coding regions but also within the genetic regions and the sequence of exons. Consequently, we are now exploring whether these discoveries are unique to humans and dogs or if they are more widely distributed throughout the cellular world.

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We have until now focused solely on the non-coding, more precisely the non-protein-coding (npc), part of DNA of man and dog in the search for hidden y-texts written by means of y-words - spelled by nucleotides A, C, G, and T and delimited by stop-codons. In this paper we use the same methods to analyse the whole human and canine genome, but we divide the genome into the genetic part, the naturally occurring sequence of exons, and the non-protein-coding genome according to definitions. By use of the y-text-finder we determine the number of zipf-qualified and a-qualified texts hidden in each of these parts.

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This paper is a top-down analysis of the non-protein-coding, canine genome. We demonstrate by use of the y-text-finder method, that the non-protein-coding genome contains lots of hidden y-texts, both short and long, proving that the non-protein-coding genome is the opposite of junk. They are written by means of a y-language of about 28 million y-words separated by stop codons and spelled by nucleotide letters A, C, G, and T.

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This article is about the discovery of thousands of narrative-like structures, like human corpus-texts, but written by y-words which are nucleotide strings delimited by stop codons in the non-coding part of the human genome. In a previous article these strings were shown to behave like human words. We use a text-finder to search for texts composed of the y-words, forming what we call y-narratives, and demonstrate that the non-coding human genome behaves like a multilayer structure due to the way the text-finder works.

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In this article we do a top-down analysis of the non-protein-coding human genome using well-defined parameters, resulting in what we call ?-strings. We show that there are altogether 45,371,328 different ?-strings in the human non-protein-coding genome. We explore statistical properties of the y-strings and demonstrate that they have many characteristics in common with human words.

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