The representation, quantification, and nature of genetic information.

Current genetics studies often refer to notions from information science. The purpose of this paper is to summarize and structure the different notions of information used in biology, as a step towards developing a taxonomy of information. Within this framework we propose an extension of Floridi’s c...

Descripción completa

Detalles Bibliográficos
Publicado en:Synthese Vol. 204; no. 1; pp. 1 - 39
Autores principales: Thorvaldsen, Steinar, Øhrstrøm, Peter, Hössjer, Ola
Formato: Artículo
Publicado: Springer Nature Jul2024
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=178143363&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 178143363
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00397857
        4LI
      jtl: Synthese
      issn: 00397857
      maglogo: N
    pubinfo:
      dt: Jul2024
      vid: 204
      iid: 1
      pid: 237
      pub: Springer Nature
    artinfo:
      ui:
        178143363
        10.1007/s11229-024-04613-z
      ppf: 1
      ppct: 38
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
              size: 812KB
      tig:
        atl: The representation, quantification, and nature of genetic information.
      aug:
        au:
          Thorvaldsen, Steinar
          Øhrstrøm, Peter
          Hössjer, Ola
        affil:
          https://ror.org/00wge5k78 Department of Education, Division of Science, UiT the Arctic University of Norway, Tromsø, Norway
          https://ror.org/04m5j1k67 Department of Communication and Psychology, Aalborg University, Aalborg, Denmark
          https://ror.org/05f0yaq80 Department of Mathematics, Division of Mathematical Statistics, Stockholm University, Stockholm, Sweden
      sug:
      keyword:
        Algorithms
        Floridi
        Functional information
        Instructional information
        Natural information
        Self-information
        Specified information
      ab: Current genetics studies often refer to notions from information science. The purpose of this paper is to summarize and structure the different notions of information used in biology, as a step towards developing a taxonomy of information. Within this framework we propose an extension of Floridi’s conceptual model of information. We also make use of the concept of specified information and show that functional information and many other notions of information are either special cases of, or are closely related to, specified information. Since functionality of the proteins that genes code serves as an external and independent specification, this makes it possible to define genetic information in a way that includes semantic aspects. In particular, we discuss how to understand the qualitative aspects of genetic information, how to measure its quantitative aspects, and how variants of Shannon’s information measure can be applied to molecular sequence data of protein families. While a mathematical framework may not be able to incorporate all that is included within biological information, some aspects of it allow for statistical modelling. This is especially true if we restrict our focus on the discipline of genetics. The concept of genetic information is still disputed because it attributes semantic traits to what seems to be regular biochemical entities. Some researchers maintain that the use of information in biology is just metaphorical and may even be misleading. We argue that the foundation of the metaphorical view is relatively weak given the current findings in bioinformatics and show that the present understanding of genetics fits well into the context of the modern philosophy of information. The paper concludes that informational concepts have robust scientific applications at the level of genes.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      custom: Synthese is a copyright of Springer, 2024. All Rights Reserved.
      item: Synthese
      holder: Springer Nature
      dt:
        @attributes:
          year: 2024
    holdings:
      @attributes:
        islocal: N