Skip Navigation

This Article
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Chao, K.-M.
Right arrow Articles by Miller, W.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Chao, K.-M.
Right arrow Articles by Miller, W.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© Oxford University Press

A tool for aligning very similar DNA sequences

Kun-Mao Chao , Jinghui Zhang 1, James Ostell 1 and Webb Miller 2,3

Department of Computer Science and Information Management, Providence University Shalu, Taichung, Taiwan 43309
1National Center for Biotechnology Information, National Library of Medicine NIH, Bethesda, MD 20894
2Department of Computer Science and Engineering, The Pennsylvania State University, University Park PA 16802, USA

3To whom correspondence should be addressed

Results: We have produced a computer program, named sim3, that solves the following computational problem. Two DNA sequences are given, where the shorter sequence is very similar to some contiguous region of the longer sequence. Sim3 determines such a similar region of the longer sequence, and then computes an optimal set of single-nucleotide changes (i.e. insertions, deletions or substitutions) that will convert the shorter sequence to that region. Thus, the alignment scoring scheme is designed to model sequencing errors, rather than evolutionary processes. The program can align a 100 kb sequence to a 1 megabase sequence in a few seconds on a workstation, provided that there are very few differences between the shorter sequence and some region in the longer sequence. The program has been used to assemble sequence data for the Genomes Division at the National Center for Biotechnology Information.

Availability: A version of sim3 for UNIX machines can be obtained by anonymous ftp from ncbi. nlm. nih. gov, in the pub/sim3 directory.

Contact: For portable versions for Macs and PCs, contact zjing@sunset. nlm. nih. gov.


Received on August 14, 1996; accepted on October 8, 1996

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Nucleic Acids ResHome page
R. A. Hoskins, M. Stapleton, R. A. George, C. Yu, K. H. Wan, J. W. Carlson, and S. E. Celniker
Rapid and efficient cDNA library screening by self-ligation of inverse PCR products (SLIP)
Nucleic Acids Res., December 2, 2005; 33(21): e185 - e185.
[Abstract] [Full Text] [PDF]


Home page
Genome ResHome page
T.-J. Chuang, W.-C. Lin, H.-C. Lee, C.-W. Wang, K.-L. Hsiao, Z.-H. Wang, D. Shieh, S. C. Lin, and L.-Y. Ch'ang
A Complexity Reduction Algorithm for Analysis and Annotation of Large Genomic Sequences
Genome Res., February 1, 2003; 13(2): 313 - 322.
[Abstract] [Full Text] [PDF]


Home page
Genome ResHome page
L. Y.Y. Chen, S.-H. Lu, E. S.C. Shih, and M.-J. Hwang
Single Nucleotide Polymorphism Mapping Using Genome-Wide Unique Sequences
Genome Res., July 1, 2002; 12(7): 1106 - 1111.
[Abstract] [Full Text] [PDF]


Home page
J. Gen. Virol.Home page
R Allende, T. Lewis, Z Lu, D. Rock, G. Kutish, A Ali, A. Doster, and F. Osorio
North American and European porcine reproductive and respiratory syndrome viruses differ in non-structural protein coding regions
J. Gen. Virol., February 1, 1999; 80(2): 307 - 315.
[Abstract]


Home page
Genome ResHome page
L. Florea, G. Hartzell, Z. Zhang, G. M. Rubin, and W. Miller
A Computer Program for Aligning a cDNA Sequence with a Genomic DNA Sequence
Genome Res., September 1, 1998; 8(9): 967 - 974.
[Abstract] [Full Text]


Home page
Genome ResHome page
J. Zhang and T. L. Madden
PowerBLAST: A New Network BLAST Application for Interactive or Automated Sequence Analysis and Annotation
Genome Res., June 1, 1997; 7(6): 649 - 656.
[Abstract] [Full Text] [PDF]



Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.