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Integrated databanks access and sequence/structure analysis services at the PBIL.

Guy Perrière1, Christophe Combet, Simon Penel

  • 1Laboratoire de Biométrie et Biologie Evolutive, UMR CNRS no. 5558, Université Claude Bernard, Lyon 1, 43 bd du 11 Novembre 1918, 69622 Villeurbanne Cedex, France. perriere@biomserv.univ-lyon1.fr

Nucleic Acids Research
|June 26, 2003
PubMed
Summary
This summary is machine-generated.

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The PBIL web server offers integrated access to biological sequence databases and analysis tools. It enables complex queries and data retrieval for nucleic acid and protein sequences, enhancing bioinformatics research.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Molecular Biology

Background:

  • The Pôle Bioinformatique Lyonnais (PBIL) developed a World Wide Web server to provide access to biological data.
  • Existing resources offered separate access to sequence databanks and analysis tools.

Purpose of the Study:

  • To create an integrated web server for accessing and analyzing biological sequence data.
  • To facilitate complex queries and retrieval of specific sequence sets, including gene families.

Main Methods:

  • Utilized the ACNUC system as the query engine for accessing EMBL, GenBank, SWISS-PROT, and PIR sequence databases.
  • Integrated a wide array of sequence analysis tools, including similarity searches, multiple alignments, protein structure prediction, and multivariate statistics.

Related Experiment Videos

  • Implemented re-usable lists to enable analysis of large datasets.

    • Main Results:

    • The PBIL server provides on-line access to major nucleotide and protein sequence databanks.
    • Complex queries targeting functional regions and gene families are supported.
    • The server integrates sequence retrieval with advanced analysis methods, allowing for efficient processing of large data sets.

    Conclusions:

    • The PBIL web server offers a unique, integrated platform for biological sequence data retrieval and analysis.
    • This integration streamlines bioinformatics workflows and supports advanced research in molecular biology.
    • The server enhances accessibility to crucial bioinformatics resources for the scientific community.