AbstractThe DNA of a cell is an object which admits a simple mathematical description and a convenient representation in a computer (it is given by an easily manipulatable list, a finite sequence in four letters typically of length between one million and 10 billions). In contrast to this, there is no simple way of describing the cell neither statically and even less temporally (dynamically). We shall indicate here a possible formalism of combinatorial and numerical (entropic) structures on spaces of sequences which reflect, up to some degree, the organization and functions of DNA and proteins
<div><p>The sequence space of five protein superfamilies was investigated by constructing sequence n...
This paper addresses the DNA code analysis in the perspective of dynamics and fractional calculus. S...
The algorithms and equations that define and link circular coding properties of the genetic code and...
AbstractDeoxyribonucleic acid, or DNA, is the most fundamental aspect of life but present day scient...
In the quest for a mathematical measure able to capture and shed light on the dual notions of infor...
The complexity of the primary structure of human DNA is explored using methods from nonequilibrium s...
Background: In a recent report the authors presented a new measure of continuous entropy for DNA seq...
A detailed entropy analysis by the recent novelty of 'lumping' is performed in some DNA sequences. O...
Encoding of information in DNA-, RNA- and other biomolecules is an important area of research in fie...
The research of Gene Predicting Algorithms is a key section in bioinformatics. After brief introduct...
Proteins are essential components of living systems, capable of performing a huge variety of tasks a...
This work proposes a Markovian memoryless model for the DNA that simplifies enormously the complexit...
The canonical genetic code is the nearly universal language for translating the information stored i...
to appear in Journal of Statistical PhysicsProteins are essential components of living systems, capa...
In this article, we show how a new mathematical model of the genetic code can be exploited for inves...
<div><p>The sequence space of five protein superfamilies was investigated by constructing sequence n...
This paper addresses the DNA code analysis in the perspective of dynamics and fractional calculus. S...
The algorithms and equations that define and link circular coding properties of the genetic code and...
AbstractDeoxyribonucleic acid, or DNA, is the most fundamental aspect of life but present day scient...
In the quest for a mathematical measure able to capture and shed light on the dual notions of infor...
The complexity of the primary structure of human DNA is explored using methods from nonequilibrium s...
Background: In a recent report the authors presented a new measure of continuous entropy for DNA seq...
A detailed entropy analysis by the recent novelty of 'lumping' is performed in some DNA sequences. O...
Encoding of information in DNA-, RNA- and other biomolecules is an important area of research in fie...
The research of Gene Predicting Algorithms is a key section in bioinformatics. After brief introduct...
Proteins are essential components of living systems, capable of performing a huge variety of tasks a...
This work proposes a Markovian memoryless model for the DNA that simplifies enormously the complexit...
The canonical genetic code is the nearly universal language for translating the information stored i...
to appear in Journal of Statistical PhysicsProteins are essential components of living systems, capa...
In this article, we show how a new mathematical model of the genetic code can be exploited for inves...
<div><p>The sequence space of five protein superfamilies was investigated by constructing sequence n...
This paper addresses the DNA code analysis in the perspective of dynamics and fractional calculus. S...
The algorithms and equations that define and link circular coding properties of the genetic code and...