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We define the complexity of DNA sequences as the information content per nucleotide, calculated by means of some Lempel-Ziv data compression algorithm. It is possible to use the statistics of the complexity values of the functional regions…

Quantitative Methods · Quantitative Biology 2008-03-05 Giulia Menconi , Vieri Benci , Marcello Buiatti

The structure of the genetic code is discussed in formal terms. A rectangular table of the code ("the code matrix"), whose properties reveal its arithmetical content tagged with the information symbols in several notations. New parameters…

Other Quantitative Biology · Quantitative Biology 2009-07-22 Felix Filatov

Background The theoretical requirements for a genetic code were well defined and modeled by George Gamow and Francis Crick in the 50-es. Their models failed. However the valid Genetic Code, provided by Nirenberg and Matthaei in 1961,…

Biomolecules · Quantitative Biology 2008-08-04 Jan C Biro

Periodic patterns play the important regulatory and structural roles in genomic DNA sequences. Commonly, the underlying periodicities should be understood in a broad statistical sense, since the corresponding periodic patterns have been…

Quantitative Methods · Quantitative Biology 2011-04-05 V. R. Chechetkin

Devising domain- and model-agnostic evaluation metrics for generative models is an important and as yet unresolved problem. Most existing metrics, which were tailored solely to the image synthesis setup, exhibit a limited capacity for…

Machine Learning · Computer Science 2022-07-14 Ahmed M. Alaa , Boris van Breugel , Evgeny Saveliev , Mihaela van der Schaar

We explore the notion of degree of asymmetry for integer sequences and related combinatorial objects. The degree of asymmetry is a new combinatorial statistic that measures how far an object is from being symmetric. We define this notion…

Combinatorics · Mathematics 2021-07-14 Sergi Elizalde , Emeric Deutsch

Language models, especially transformer-based ones, have achieved colossal success in NLP. To be precise, studies like BERT for NLU and works like GPT-3 for NLG are very important. If we consider DNA sequences as a text written with an…

Genomics · Quantitative Biology 2026-01-21 Musa Nuri Ihtiyar , Arzucan Ozgur

We introduce the simple parametrization for the space of codons (triples of nucleotides) by 8\times 8 table. This table (which we call the dyadic plane) possesses the natural 2-adic ultrametric. We show that after this parametrization the…

Quantitative Methods · Quantitative Biology 2009-11-13 A. Yu. Khrennikov , S. V. Kozyrev

Gene finding is the task of identifying the locations of coding sequences within the vast amount of genetic code contained in the genome. With an ever increasing quantity of raw genome sequences, gene finding is an important avenue towards…

Genomics · Quantitative Biology 2025-05-07 Frederikke I. Marin , Dennis Pultz , Wouter Boomsma

A new set of DNA base-nucleic acid codes and their hypercomplex number representation have been introduced for taking the probability of each nucleotide into full account. A new scoring system has been proposed to suit the hypercomplex…

Other Quantitative Biology · Quantitative Biology 2014-03-12 Jian-Jun Shu , Li Shan Ouw

This work concerns formal descriptions of DNA code properties, and builds on previous work on transducer descriptions of classic code properties and on trajectory descriptions of DNA code properties. This line of research allows us to give…

Formal Languages and Automata Theory · Computer Science 2015-03-03 Lila Kari , Stavros Konstantinidis , Steffen Kopecki

The Dissertation is focused on the studies of associations between functional elements in human genome and their nucleotide structure. The asymmetry in nucleotide content (skew, bias) was chosen as the main feature for nucleotide structure.…

Genomics · Quantitative Biology 2011-01-04 Diana Duplij

Decoding the genome confers the capability to predict characteristics of the organism(phenotype) from DNA (genotype). We describe the present status and future prospects of genomic prediction of complex traits in humans. Some highly…

Genomics · Quantitative Biology 2021-01-18 Timothy G. Raben , Louis Lello , Erik Widen , Stephen D. H. Hsu

Repetitive elements are important in genomic structures, functions and regulations, yet effective methods in precisely identifying repetitive elements in DNA sequences are not fully accessible, and the relationship between repetitive…

Genomics · Quantitative Biology 2016-08-03 Changchuan Yin

Genomic phenotypes, such as DNA methylation and chromatin accessibility, can be used to characterize the transcriptional and regulatory activity of DNA within a cell. Recent technological advances have made it possible to measure such…

Methodology · Statistics 2016-11-15 Jean Morrison , Noah Simon , Daniela Witten

The mathematical concept of q-deformations, in particular the one of qnumbers, is used to study the genetic code(s). After considering two kinds of q-numbers, for comparison, a phenomenological classification scheme of the genetic code…

Other Quantitative Biology · Quantitative Biology 2016-07-26 Tidjani Negadi

In this paper, we propose a general framework that extends the theory of permutation patterns to higher dimensions and unifies several combinatorial objects studied in the literature. Our approach involves introducing the concept of a…

Combinatorics · Mathematics 2024-11-06 Shaoshi Chen , Hanqian Fang , Sergey Kitaev , Candice X. T. Zhang

Since the completion of the human genome sequencing project in 2001, significant progress has been made in areas such as gene regulation editing and protein structure prediction. However, given the vast amount of genomic data, the segments…

Other Quantitative Biology · Quantitative Biology 2025-01-29 Wang Liang

Embryonic development leads to the reproducible and ordered appearance of complexity from egg to adult. The successive differentiation of different cell types, that elaborates this complexity, result from the activity of gene networks and…

Quantitative Methods · Quantitative Biology 2022-05-11 David A. Rand , Archishman Raju , Meritxell Saez , Francis Corson , Eric D. Siggia

Genetic Programming is an evolutionary algorithm that generates computer programs, or mathematical expressions, to solve complex problems. In this Guide, we demonstrate how to use Genetic Programming to develop surrogate models to mitigate…