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Related Experiment Videos

ESPript: analysis of multiple sequence alignments in PostScript.

P Gouet1, E Courcelle, D I Stuart

  • 1Laboratory of Molecular Biophysics, The Rex Richards Building, South Parks Road, Oxford OX1 3QU, UK. gouet@ipbs.fr

Bioinformatics (Oxford, England)
|May 13, 1999
PubMed
Summary
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ESPript (Easy Sequencing in PostScript) visualizes sequence alignments and secondary structures, integrating sequence and structural data. This tool aids in analyzing sequence homology and conservation for biological research.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • Sequence alignment visualization is crucial for understanding biological data.
  • Integrating sequence and structural information enhances analysis.
  • Existing tools may lack comprehensive visualization capabilities.

Purpose of the Study:

  • To introduce ESPript, a program for visualizing sequence alignments with secondary structure information.
  • To provide a user-friendly tool for analyzing sequence homology and conservation.
  • To facilitate the synthesis of sequence and structural data for biological research.

Main Methods:

  • ESPript processes sequence alignments from common programs (e.g., CLUSTAL-W, GCG PILEUP).
  • It reads secondary structure files (e.g., DSSP) to overlay structural data.

Related Experiment Videos

  • The program offers both command-line and HTML-based user interfaces.

    • Main Results:

    • ESPript generates PostScript output for rapid visualization.
    • It calculates and sorts homology scores by sequence groups.
    • Users can highlight important regions and paste conservation data into coordinate files.

    Conclusions:

    • ESPript offers a powerful and versatile solution for visualizing and analyzing sequence-structure relationships.
    • The tool enhances the interpretation of biological sequence data.
    • Accessible via web and FTP, ESPript is readily available to the research community.