Discrete math - links to biology?

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Discussion Overview

The discussion explores the connections between discrete mathematics and biology, particularly in the context of research areas that integrate these fields. Participants share examples and resources related to this intersection.

Discussion Character

  • Exploratory, Technical explanation

Main Points Raised

  • One participant expresses interest in finding research areas that link discrete mathematics and biology, noting a lack of readily available information.
  • Another participant suggests that discrete mathematics can lead to useful results in biology, mentioning areas such as probability, experimental design, chaos theory, cellular automata, signal theory in nervous transmission, and statistical mechanics.
  • Further resources are provided, including links to topics like evolutionary game theory, sequence alignment, computational phylogenetics, Levenshtein distance, compartmental models in epidemiology, population genetics, and bioinformatics.

Areas of Agreement / Disagreement

Participants generally agree that discrete mathematics has applications in biology, but the discussion does not resolve the extent or specifics of these connections.

Contextual Notes

The discussion does not address specific limitations or assumptions regarding the integration of discrete mathematics and biology.

Who May Find This Useful

Students and researchers in mathematics, biology, or interdisciplinary studies interested in the applications of discrete mathematics in biological contexts.

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Discrete math -- links to biology?

Hey,

I'm in a math and biology program in college and I've recently become more and more into the discrete side of math. I was wondering if anybody knew of any areas of research that integrate discrete mathematics and biology, as there doesn't seem to be much when I do a few searches. Pretty general question, I know, but is anyone aware of any offhand examples?
 
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Concrete or Discrete Math can seem a tad dry and academic but it does lead to useful results in Biology.

Probability, and the design of experiments has always been an important area.
Chaos theory and cellular automata.
Signal theory in nervous transmission.
Statistical mechanics, which is about how the random actions of lots of small things can bring about an aggregate effect or law, can be invoked to explain the workings and behaviour of biological and chemical systems.
 
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You may want to take a look at these:

http://en.wikipedia.org/wiki/Evolutionary_game_theory"

http://en.wikipedia.org/wiki/Sequence_alignment"

http://en.wikipedia.org/wiki/Computational_phylogenetics"

http://en.wikipedia.org/wiki/Levenshtein_distance"

http://en.wikipedia.org/wiki/Compartmental_models_in_epidemiology"

http://en.wikipedia.org/wiki/Population_genetics"

http://en.wikipedia.org/wiki/Bioinformatics"
 
Last edited by a moderator:


Thanks guys, interesting stuff!
 

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