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Semiotic Thoughts on Biological Sequence Representations.

Guillermo Restrepo1

  • 1Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany; Interdisciplinary Center for Bioinformatics, Universität Leipzig, Leipzig,Germany.

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Summary
This summary is machine-generated.

Researchers explore methods for representing biological sequences like DNA and proteins. This study analyzes the field and suggests learning from mathematical chemistry to improve sequence representation models.

Keywords:
Biological sequencesbibliometricsmathematical chemistryrepresentationssemioticssociology of science.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • The increasing volume of biological sequence data (proteins, DNA, RNA, genomes) necessitates effective representation models.
  • These models are crucial for comparing and analyzing biological sequences.

Purpose of the Study:

  • To provide a bibliometric overview of research on biological sequence representation.
  • To identify and discuss the semiotic aspects involved in biological sequence representation.
  • To draw parallels with mathematical chemistry to guide future research directions.

Main Methods:

  • Bibliometric analysis of scientific literature on biological sequence representation.
  • Semiotic analysis of representation models.
  • Comparative analysis with the historical development of mathematical chemistry.

Main Results:

  • The field of biological sequence representation is rapidly expanding.
  • Key semiotic challenges exist in accurately capturing biological meaning in sequence models.
  • Historical trends in mathematical chemistry offer valuable lessons for avoiding potential pitfalls.

Conclusions:

  • The study highlights the importance of robust and meaningful representation of biological sequences.
  • Future research should consider semiotic principles and lessons from mathematical chemistry.
  • Developing advanced sequence representation models is critical for advancing biological research.