JOURNAL ARTICLE

Strategies for Searching Sequence Databases

Hugh B. NicholasDavid W. DeerfieldAlexander J. Ropelewski

Year: 2000 Journal:   BioTechniques Vol: 28 (6)Pages: 1174-1191   Publisher: Future Science Ltd

Abstract

We provide a detailed overview of the choices inherent in performing a sequence database search, including the choice of algorithm, substitution matrix and gap model. Each of these choices has implications that can be described as restrictions on the underlying model of sequence evolution, the expected degree of divergence between the query sequence and the database sequences (if one uses an evolutionary based matrix), as well as the sensitivity and selectivity of the search. We conclude with a series of recommendations for researchers performing these searches based on our experience and literature studies.

Keywords:
Sequence (biology) Computer science Divergence (linguistics) Sequence database Matrix (chemical analysis) Database Information retrieval Data mining Biology Genetics Gene

Metrics

21
Cited By
0.77
FWCI (Field Weighted Citation Impact)
27
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Genomics and Phylogenetic Studies
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology
Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence
Genome Rearrangement Algorithms
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Genetics

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