Skip to main content

Local Alignment (with Affine Gap Weights)

  • Reference work entry
  • First Online:
Encyclopedia of Algorithms
  • 132 Accesses

Years and Authors of Summarized Original Work

  • 1986; Altschul, Erickson

Problem Definition

The pairwise local alignment problem is concerned with identification of a pair of similar substrings from two molecular sequences. This problem has been studied in computer science for four decades. However, most problem models were generally not biologically satisfying or interpretable before 1974. In 1974, Sellers developed a metric measure of the similarity between molecular sequences. [9] generalized this metric to include deletions and insertions of arbitrary length which represent the minimum number of mutational events required to convert one sequence into another.

Given two sequences S and T, a pairwise alignment is a way of inserting space characters ‘_’ in S and T to form sequences S′ and T′ respectively with the same length. There can be different alignments of two sequences. The score of an alignment is measured by a scoring metric \(\updelta (x,y)\). At each position i where both x...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 1,599.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 1,999.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Allgower EL, Schmidt PH (1985) An algorithm for piecewise-linear approximation of an implicitly defined manifold. SIAM J Num Anal 22:322–346

    Article  MathSciNet  MATH  Google Scholar 

  2. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ (1990) Basic local alignment search tool. J Mol Biol 215:403–410

    Article  Google Scholar 

  3. Chao KM, Miller W (1995) Linear-space algorithms that build local alignments from fragments. Algorithmica 13:106–134

    Article  MathSciNet  MATH  Google Scholar 

  4. Gusfield D (1999) Algorithms on strings, trees and sequences. Cambridge University Press, Cambridge. ISBN:052158519

    Google Scholar 

  5. Ma B, Tromp J, Li M (2002) PatternHunter: faster and more sensitive homology search. Bioinformatics 18:440–445

    Article  Google Scholar 

  6. Myers EW, Miller W (1988) Optimal alignments in linear space. Bioinformatics 4:11–17

    Article  Google Scholar 

  7. Needleman SB, Wunsch CD (1970) A general method applicable to the search for similarities in the amino acid sequence of two proteins. J Mol Biol 48:443–453

    Article  Google Scholar 

  8. Pearson WR, Lipman DJ (1988) Improved tools for biological sequence comparison. Proc Natl Acad Sci USA 85:2444–2448

    Article  Google Scholar 

  9. Sellers PH (1974) On the theory and computation of evolutionary distances. SIAM J Appl Math 26:787–793

    Article  MathSciNet  MATH  Google Scholar 

  10. Smith TF, Waterman MS (1981) Identification of common molecular subsequences. J Mol Biol 147:195–197

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Henry Leung .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media New York

About this entry

Cite this entry

Leung, H. (2016). Local Alignment (with Affine Gap Weights). In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_207

Download citation

Publish with us

Policies and ethics