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Gap costs for multiple sequence alignment.

S F Altschul1

  • 1Mathematical Research Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland 20892.

Journal of Theoretical Biology
|June 8, 1989
PubMed
Summary
This summary is machine-generated.

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This study proposes a new method for calculating gap costs in multiple sequence alignments. This approach ensures consistency between pairwise and multiple sequence alignment costs, improving accuracy.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Standard sequence alignment methods focus on substitutions, insertions, and deletions.
  • Gap costs not proportional to length are effective for pairwise alignments.
  • Extending these costs to multiple sequences is challenging.

Purpose of the Study:

  • To propose a new, unified rationale for defining gap and substitution costs in multiple sequence alignments.
  • To compare the proposed gap cost definition with existing methods.

Main Methods:

  • Developed a novel definition for gap costs in multiple sequence alignments.
  • Linked multiple alignment costs to pairwise projection costs.
  • Evaluated the definition against previous approaches.

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Main Results:

  • The new definition establishes a direct relationship between multiple and pairwise alignment costs.
  • This linkage facilitates the application of pairwise alignment knowledge to multiple sequence alignment problems.
  • The proposed method supports recent algorithms for aligning up to six sequences simultaneously.

Conclusions:

  • A common rationale for gap and substitution costs is essential for optimal multiple sequence alignments.
  • The proposed gap cost definition offers a more consistent and effective approach.
  • This method enhances the practicality and accuracy of multiple sequence alignment.