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4 - Sequence Comparison

Published online by Cambridge University Press:  04 December 2009

Jerome K. Percus
Affiliation:
New York University
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Summary

Having examined aspects of the general structure of the language of DNA, we continue to home in on the words, phrases, etc., of the language. A word of course is a subsequence that recurs in the same or another organism, either exactly, or distorted, or in synonym form; a phrase consists of key words together perhaps with filler. We will save for Section 4.3 the question of how potential words or phrases are located in the first place in our new more general context, and concentrate now on the degree of confidence with which we can assert that these objects have indeed been found. It must be emphasized that we are only attending to linear ordering, the primary structure of the molecule, so that proteins, for example, correspond simply to coding linear subsequences; the fashion in which the distinctive three-dimensional structure arises, clearly crucial for proteins and hardly irrelevant for DNA, is not being addressed.

Basic Matching

The prototypical situation to be analyzed is this: Two linear chains of length l (nucleotides, amino acids, …,), when aligned, are found to have a common (contiguous) subsequence of r units. What is the probability that this was a random event and not an indicator of a functional or an evolutionary relationship between the chains? At the most primitive level of resolution, random means independent selection of the units at the overall frequencies, pα for the αth type of unit, α = 1, …, n(n = 4, 20, …).

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Publisher: Cambridge University Press
Print publication year: 2001

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  • Sequence Comparison
  • Jerome K. Percus, New York University
  • Book: Mathematics of Genome Analysis
  • Online publication: 04 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511613197.005
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  • Sequence Comparison
  • Jerome K. Percus, New York University
  • Book: Mathematics of Genome Analysis
  • Online publication: 04 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511613197.005
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Sequence Comparison
  • Jerome K. Percus, New York University
  • Book: Mathematics of Genome Analysis
  • Online publication: 04 December 2009
  • Chapter DOI: https://doi.org/10.1017/CBO9780511613197.005
Available formats
×