The mathematical structure of the genetic code: a tool for inquiring on the origin of life

In this paper we present a review and some new thoughts on our work about the mathematical structure of the genetic code. The model proposed is a new theoretical tool that allows a fresh insight on many open problems related to the origin, the evolution and the present structure of the genetic machi...

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Main Authors: Diego Luis Gonzalez, Simone Giannerini, Rodolfo Rosa
Format: Article
Language:English
Published: University of Bologna 2013-05-01
Series:Statistica
Online Access:http://rivista-statistica.unibo.it/article/view/3553
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spelling doaj-9aedb97bce0b4f489245886dd54c1e342020-11-25T00:16:00ZengUniversity of BolognaStatistica0390-590X1973-22012013-05-01692/314315710.6092/issn.1973-2201/35533299The mathematical structure of the genetic code: a tool for inquiring on the origin of lifeDiego Luis Gonzalez0Simone Giannerini1Rodolfo Rosa2CNR-IMM, Bologna SectionAlma Mater Studiorum - Università di BolognaDepartment of Statistical Sciences - University of Bologna CNR-IMM, Bologna Section - BolognaIn this paper we present a review and some new thoughts on our work about the mathematical structure of the genetic code. The model proposed is a new theoretical tool that allows a fresh insight on many open problems related to the origin, the evolution and the present structure of the genetic machinery. In particular, we show that such model implies the existence of dichotomic classes, quantities that might play a preeminent role in the management of the genetic information including error control mechanisms. We introduce and use techniques for the analysis of dependent sequences in order to study the correlation structure of series of dichotomic classes derived from protein coding segments of DNA. The results show the existence of a complex context-dependent correlation structure; such dependence gives important information about coding and decoding strategies that nature has implemented along evolutionary times on DNA and RNA sequences.http://rivista-statistica.unibo.it/article/view/3553
collection DOAJ
language English
format Article
sources DOAJ
author Diego Luis Gonzalez
Simone Giannerini
Rodolfo Rosa
spellingShingle Diego Luis Gonzalez
Simone Giannerini
Rodolfo Rosa
The mathematical structure of the genetic code: a tool for inquiring on the origin of life
Statistica
author_facet Diego Luis Gonzalez
Simone Giannerini
Rodolfo Rosa
author_sort Diego Luis Gonzalez
title The mathematical structure of the genetic code: a tool for inquiring on the origin of life
title_short The mathematical structure of the genetic code: a tool for inquiring on the origin of life
title_full The mathematical structure of the genetic code: a tool for inquiring on the origin of life
title_fullStr The mathematical structure of the genetic code: a tool for inquiring on the origin of life
title_full_unstemmed The mathematical structure of the genetic code: a tool for inquiring on the origin of life
title_sort mathematical structure of the genetic code: a tool for inquiring on the origin of life
publisher University of Bologna
series Statistica
issn 0390-590X
1973-2201
publishDate 2013-05-01
description In this paper we present a review and some new thoughts on our work about the mathematical structure of the genetic code. The model proposed is a new theoretical tool that allows a fresh insight on many open problems related to the origin, the evolution and the present structure of the genetic machinery. In particular, we show that such model implies the existence of dichotomic classes, quantities that might play a preeminent role in the management of the genetic information including error control mechanisms. We introduce and use techniques for the analysis of dependent sequences in order to study the correlation structure of series of dichotomic classes derived from protein coding segments of DNA. The results show the existence of a complex context-dependent correlation structure; such dependence gives important information about coding and decoding strategies that nature has implemented along evolutionary times on DNA and RNA sequences.
url http://rivista-statistica.unibo.it/article/view/3553
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