Nucleotide sequence databases: A gold mine for biologists

Akhilesh Pandey, Fran Lewitter

Research output: Contribution to journalReview article

55 Citations (Scopus)

Abstract

The rapid expansion of nucleotide sequence data available in public databases is revolutionizing biomedical research. These databases have a variety of uses, including the discovery of novel genes, identification of homologous genes, analysis of alternative splicing, chromosomal localization of genes, and detection of polymorphisms. Data sets such as the human transcript map will undoubtedly accelerate identification of candidate genes in positional-cloning approaches. Careful in silico analysis can significantly reduce the amount of lab work required. Approximately half of all human genes are represented in these databases; therefore, one need not wait for the entire human genome to be sequenced before performing genome-wide studies. Copyright (C) 1999 Elsevier Science Ltd.

Original languageEnglish (US)
Pages (from-to)276-280
Number of pages5
JournalTrends in Biochemical Sciences
Volume24
Issue number7
DOIs
StatePublished - Jul 1 1999
Externally publishedYes

Fingerprint

Gold mines
Gold
Nucleotides
Genes
Genetic Association Studies
Databases
Alternative Splicing
Human Genome
Computer Simulation
Biomedical Research
Organism Cloning
Genome
Cloning
Polymorphism

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

Cite this

Nucleotide sequence databases : A gold mine for biologists. / Pandey, Akhilesh; Lewitter, Fran.

In: Trends in Biochemical Sciences, Vol. 24, No. 7, 01.07.1999, p. 276-280.

Research output: Contribution to journalReview article

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