Discovering y-Narratives Hidden in Non-Coding Human Genome: y-Text-Finder and Genomic Multilayer Store

Area of Science:

• Genomics
• Bioinformatics
• Computational Linguistics

Background:

• The human genome contains vast non-coding regions with largely unknown functions.
• Previous research indicated that specific nucleotide strings (y-words) in these regions possess word-like properties.

Purpose of the Study:

• To identify and characterize narrative-like structures (y-narratives) within the non-coding human genome.
• To investigate the organizational principles of these y-narratives and their relationship to genome structure.
• To explore the linguistic characteristics and potential informational content of y-narratives.

Main Methods:

• Utilized a text-finder algorithm to search for sequences of y-words (nucleotide strings) in the non-coding genome.
• Analyzed the spatial distribution of identified y-narratives across different genomic layers.
• Classified y-narratives into distinct types based on linguistic similarity to human language.

Main Results:

• Discovered thousands of y-narratives, analogous to corpus-texts, composed of y-words.
• Demonstrated that the non-coding genome functions as a multilayered structure, with y-narratives organized by length into distinct layers.
• Identified two types of y-narratives with varying degrees of linguistic resemblance to human language.

Conclusions:

• The non-coding human genome possesses significant corpus-narrative properties.
• Y-narratives represent a novel layer of biological information within the genome.
• Further research into y-narratives can elucidate the genome's complex informational architecture.