Issues in searching molecular sequence databases View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1994-02

AUTHORS

S F Altschul, M S Boguski, W Gish, J C Wootton

ABSTRACT

Sequence similarity search programs are versatile tools for the molecular biologist, frequently able to identify possible DNA coding regions and to provide clues to gene and protein structure and function. While much attention had been paid to the precise algorithms these programs employ and to their relative speeds, there is a constellation of associated issues that are equally important to realize the full potential of these methods. Here, we consider a number of these issues, including the choice of scoring systems, the statistical significance of alignments, the masking of uninformative or potentially confounding sequence regions, the nature and extent of sequence redundancy in the databases and network access to similarity search services. More... »

PAGES

119-129

References to SciGraph publications

  • 1993-05. How receptors turn Ras on in NATURE
  • 1985-02. Aligning amino acid sequences: Comparison of commonly used methods in JOURNAL OF MOLECULAR EVOLUTION
  • 1988-03. Sequence comparison with concave weighting functions in BULLETIN OF MATHEMATICAL BIOLOGY
  • 1990-11. Solution structure of the DMA-binding domain of the oestrogen receptor in NATURE
  • 1993-12. Proteins regulating Ras and its relatives in NATURE
  • 1984-07. Pattern recognition in genetic sequences by mismatch density in BULLETIN OF MATHEMATICAL BIOLOGY
  • 1986-09. A nonlinear measure of subalignment similarity and its significance levels in BULLETIN OF MATHEMATICAL BIOLOGY
  • 1986-09. Optimal sequence alignment using affine gap costs in BULLETIN OF MATHEMATICAL BIOLOGY
  • 1993-08. The EST express gathers speed in NATURE
  • 1992-01. Maximum-likelihood estimation of the statistical distribution of Smith-Waterman local sequence similarity scores in BULLETIN OF MATHEMATICAL BIOLOGY
  • 1992-11. Human genes containing polymorphic trinucleotide repeats in NATURE GENETICS
  • 1993-03. Identification of protein coding regions by database similarity search in NATURE GENETICS
  • 1993-05. The SH2 and SH3 domains of mammalian Grb2 couple the EGF receptor to the Ras activator mSos1 in NATURE
  • 1992-10. Prototypic sequences for human repetitive DNA in JOURNAL OF MOLECULAR EVOLUTION
  • 1993-03. A protein alignment scoring system sensitive at all evolutionary distances in JOURNAL OF MOLECULAR EVOLUTION
  • 1993-03. Finding new genes faster than ever in NATURE GENETICS
  • 1993-08. dbEST — database for “expressed sequence tags” in NATURE GENETICS
  • Journal

    TITLE

    Nature Genetics

    ISSUE

    2

    VOLUME

    6

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/ng0294-119

    DOI

    http://dx.doi.org/10.1038/ng0294-119

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1043787384

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/8162065


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