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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Computational Biology
Article . 1997 . Peer-reviewed
License: Mary Ann Liebert TDM
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Aligning a DNA sequence with a protein sequence

Authors: Zheng Zhang 0004; William R. Pearson; Webb Miller;

Aligning a DNA sequence with a protein sequence

Abstract

We develop several algorithms for the problem of aligning DNA sequence with a protein sequence. Our methods account for frameshift errors, but not for introns in the DNA sequence. Thus, they are particularly appropriate for comparing a cDNA sequence that suffers from sequencing errors with an amino acid sequence or a protein sequence database. We describe algorithms for computing optimal alignments for several definitions of DNA-protein alignment, verify sufficient conditions for equivalence of certain definitions, describe techniques for efficient implementation, and discuss experience with these ideas in a new release of the FASTA suite of database-searching programs.

Related Organizations
Keywords

Databases, Factual, Proteins, DNA, Sequence Analysis, DNA, Sequence Alignment, Algorithms, Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
41
Top 10%
Top 10%
Top 10%
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