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Two-dimensional graphic analysis of DNA sequence homologies.
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MedLine Citation:
PMID:  7063405     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We describe a computer program designed to facilitate the pattern matching analysis of homologies between DNA sequences. It takes advantage of a two-dimensional plot in order to simplify the evaluation of significant structures inherited in the sequences. The program can be divided into three parts, i) algorithm for search of homologies, ii) two-dimensional graphic display of the result, iii) further graphic treatment to enhance significant structures. The power of the graphic display is presented by the following application of the program. We conducted a search for direct repeats in the mouse immunoglobulin kappa-chain genes. Both the five J DNA sequences and other shorter repeats were found. We also found a longer stretch of homology that could indicate the presence of duplicated DNA in the J4, J5 region.
Authors:
R Harr; P Hagblom; P Gustafsson
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Nucleic acids research     Volume:  10     ISSN:  0305-1048     ISO Abbreviation:  Nucleic Acids Res.     Publication Date:  1982 Jan 
Date Detail:
Created Date:  1982-05-21     Completed Date:  1982-05-21     Revised Date:  2009-11-18    
Medline Journal Info:
Nlm Unique ID:  0411011     Medline TA:  Nucleic Acids Res     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  365-74     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Base Sequence*
Computers*
DNA*
Methods
Chemical
Reg. No./Substance:
9007-49-2/DNA
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Full Text
Journal Information
Journal ID (nlm-ta): Nucleic Acids Res
ISSN: 0305-1048
ISSN: 1362-4962
Article Information
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Print publication date: Day: 11 Month: 1 Year: 1982
Volume: 10 Issue: 1
First Page: 365 Last Page: 374
ID: 326139
PubMed Id: 7063405

Two-dimensional graphic analysis of DNA sequence homologies.
R Harr
P Hagblom
P Gustafsson



Article Categories:
  • Research Article


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