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PMID: 3124111 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Efficient algorithms for molecular sequence analysis.

Proceedings of the National Academy of Sciences of the United States of America ·Vol. 85 ·No. 3 ·1988-02-00 ·Pages 841-5

Karlin S, Morris M, Ghandour G, Leung MY

Abstract

Efficient (linear time) algorithms are described for identifying global molecular sequence features allowing for errors including repeats, matches between sequences, dyad symmetry pairings, and other sequence patterns. A multiple sequence alignment algorithm is also described. Specific applications are given to hepatitis B viruses and the J5-C (J, joining; C, constant) region of the immunoglobulin kappa gene.

MeSH Terms
Algorithms Amino Acid Sequence Animals Base Sequence Genes, Immunoglobulin Genes, Viral Hepatitis Viruses/genetics Humans Immunoglobulin kappa-Chains/genetics Mice Rabbits Sequence Homology, Nucleic Acid
Chemicals
Immunoglobulin kappa-Chains
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Karlin S
Department of Mathematics, Stanford University, CA 94305.
Morris M
Ghandour G
Leung M Y
References (8)
8 references, click to expand
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  5. The use of multiple alphabets in kappa-gene immunoglobulin DNA sequence comparisons.
    EMBO J. 1985 May;4(5):1217-23 PMID: 3924599
  6. Comparative analysis of human and bovine papillomaviruses.
    Mol Biol Evol. 1984 Jul;1(4):357-70 PMID: 6100988
  7. DNA sequence comparisons of the human, mouse, and rabbit immunoglobulin kappa gene.
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  8. Nucleotide sequence of an infectious molecularly cloned genome of ground squirrel hepatitis virus.
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Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
0027-8424
DOI
10.1073/pnas.85.3.841
Published
1988-02-00
Pages
841-5
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC279651
Subset
IM
Grants
NIGMS NIH HHS · 2R01 GM10452-23 · United States
External Links
PubMed source DOI: 10.1073/pnas.85.3.841 PMC Full Text View journal details
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