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Cited by 5,478

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A Greedy Algorithm for Aligning DNA Sequences

Zhang, Zheng, Schwartz, Scott, Wagner, Lukas, Miller, Webb·2000·Journal of Computational Biology

Abstract

For aligning DNA sequences that differ only by sequencing errors, or by equivalent errors from other sources, a greedy algorithm can be much faster than traditional dynamic programming approaches and yet produce an alignment that is guaranteed to be theoretically optimal. We introduce a new greedy alignment algorithm with particularly good performance and show that it computes the same alignment as does a certain dynamic programming algorithm, while executing over 10 times faster on appropriate data. An implementation of this algorithm is currently used in a program that assembles the UniGene database at the National Center for Biotechnology Information.

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Metadata

Authors
Zhang, Z., Schwartz, S., Wagner, L., & Miller, W.
Venue
Journal of Computational Biology
Published
2000-02
Volume
7
Issue
1-2
Pages
203-214
ISSN
  • 1066-5277 (ISSN-L)
  • 1557-8666
OpenAlex
W2055666215
Cited by
5,478
References
3
FWCI
8.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Greedy Algorithm for Aligning DNA Sequences. https://app.cochat.ai/papers/10.1089/10665270050081478
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Zhang, Z., Schwartz, S., Wagner, L., & Miller, W. (2000). A Greedy Algorithm for Aligning DNA Sequences. Journal of Computational Biology. https://doi.org/10.1089/10665270050081478

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.