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EST_GENOME: a program to align spliced DNA sequences to unspliced genomic DNA

Mott, Richard·1997·Bioinformatics

Abstract

spliced DNA to unspliced genomic DNA. It is written in ANSI C and has been tested under Digital OSF3.2. The spurce code and documentation are available from ftp:// www.sanger.ac.uky ftp/pub / badger/est_genome.2.tar.Z. The prediction of genes in uncharacterized genomic DNA sequence is currently one of the main problems facing sequence annotators. Methods based on de novo prediction, e.g. searching for motifs like the splice-site consensus, or on statistical properties such as biased codon usage, etc. (Solovyev et al., 1994; Hebsgaard et al., 1996) have been only partially successful, and investigators have often found that the surest way of predicting a gene is by alignment with a homologous protein sequence (Birney et al., 1996; Gelfand et al., 1996; Huang and Zhang, 1996), or a spliced gene product [an expressed sequence tag (EST), mRNA or cDNA],

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Metadata

Authors
Mott, R.
Venue
Bioinformatics
Published
1997
Volume
13
Issue
4
Pages
477-478
ISSN
  • 0266-7061 (ISSN-L)
  • 1367-4803
  • 1460-2059
OpenAlex
W2112240593
Cited by
276
References
0
FWCI
2.14
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: EST_GENOME: a program to align spliced DNA sequences to unspliced genomic DNA. https://app.cochat.ai/papers/10.1093/bioinformatics/13.4.477
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Mott, R. (1997). EST_GENOME: a program to align spliced DNA sequences to unspliced genomic DNA. Bioinformatics. https://doi.org/10.1093/bioinformatics/13.4.477

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