Literature DB >> 1591534

An O (N2 log N) restriction map comparison and search algorithm.

E W Myers1, X Huang.   

Abstract

We present an O (R log P) time, O (M+P2) space algorithm for searching a restriction map with M sites for the best matches to a shorter map with P sites, where R, the number of matching site pairs, is bounded by MP. As first proposed by Waterman et al. (1984, Nucl. Acids Res. 12, 237-242) the objective function used to score matches is additive in the number of unaligned sites and the discrepancies in the distances between adjacent aligned sites. Our algorithm is basically a sparse dynamic programming computation in which "candidate lists" are used to model the future contribution of all previously computed entries to those yet to be computed. A simple modification to the algorithm computes the distance between two restriction maps with M and N sites, respectively, in O (MN (log M+log N)) time.

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Year:  1992        PMID: 1591534     DOI: 10.1007/bf02459636

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  5 in total

1.  An algorithm for searching restriction maps.

Authors:  W Miller; J Ostell; K E Rudd
Journal:  Comput Appl Biosci       Date:  1990-07

2.  The physical map of the whole E. coli chromosome: application of a new strategy for rapid analysis and sorting of a large genomic library.

Authors:  Y Kohara; K Akiyama; K Isono
Journal:  Cell       Date:  1987-07-31       Impact factor: 41.582

3.  Sequence comparison with concave weighting functions.

Authors:  W Miller; E W Myers
Journal:  Bull Math Biol       Date:  1988       Impact factor: 1.758

4.  Algorithms for restriction map comparisons.

Authors:  M S Waterman; T F Smith; H L Katcher
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

5.  Efficient sequence alignment algorithms.

Authors:  M S Waterman
Journal:  J Theor Biol       Date:  1984-06-07       Impact factor: 2.691

  5 in total
  3 in total

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Journal:  Microbiology (Reading)       Date:  2010-04-08       Impact factor: 2.777

2.  Transcription factor map alignment of promoter regions.

Authors:  Enrique Blanco; Xavier Messeguer; Temple F Smith; Roderic Guigó
Journal:  PLoS Comput Biol       Date:  2006-05-26       Impact factor: 4.475

3.  Scanning the landscape of genome architecture of non-O1 and non-O139 Vibrio cholerae by whole genome mapping reveals extensive population genetic diversity.

Authors:  Carol Chapman; Matthew Henry; Kimberly A Bishop-Lilly; Joy Awosika; Adam Briska; Ryan N Ptashkin; Trevor Wagner; Chythanya Rajanna; Hsinyi Tsang; Shannon L Johnson; Vishwesh P Mokashi; Patrick S G Chain; Shanmuga Sozhamannan
Journal:  PLoS One       Date:  2015-03-20       Impact factor: 3.240

  3 in total

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