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Estimating the expected reversal distance after a fixed number of reversals
Dept. of Mathematics, Royal Institute of Technology, Stockholm.ORCID iD: 0000-0002-6444-7878
Dept. of Mathematics, Royal Institute of Technology, Stockholm.
2004 (English)In: Advances in Applied Mathematics, ISSN 0196-8858, E-ISSN 1090-2074, Vol. 32, p. 439-453Article in journal (Refereed) Published
Abstract [en]

We address the problem of computing the expected reversal distance of a genome with $n$ genes obtained by applying t random reversals to the identity. A good approximation is the expected transposition distance of a product of t random transpositions in S_n. Computing the latter turns out to be equivalent to computing the coefficients of the length function (i.e. the class function returning the number of parts in an integer partition) when written as a linear combination of the irreducible characters of S_n. Using symmetric functions theory, we compute these coefficients, thus obtaining a formula for the expected transposition distance. We also briefly sketch how to compute the variance.  

Place, publisher, year, edition, pages
San Diego, USA: Elsevier, 2004. Vol. 32, p. 439-453
Keywords [en]
Sorting by reversals, genome rearrangements, permutations, transpositions, expected distances
National Category
Mathematics
Identifiers
URN: urn:nbn:se:oru:diva-41718DOI: 10.1016/S0196-8858(03)00054-XISI: 000220409200002Scopus ID: 2-s2.0-1842502696OAI: oai:DiVA.org:oru-41718DiVA, id: diva2:780994
Available from: 2015-01-15 Created: 2015-01-15 Last updated: 2017-12-05Bibliographically approved

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Eriksen, Niklas

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NB
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Output format
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