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Related Experiment Videos

MACSIMS: multiple alignment of complete sequences information management system.

Julie D Thompson1, Arnaud Muller, Andrew Waterhouse

  • 1Laboratoire de Biologie et Genomique Structurales, Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France. julie@igbmc.u-strasbg.fr

BMC Bioinformatics
|June 24, 2006
PubMed
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MACSIMS is a novel information management system for analyzing protein families. It enhances data integration and characterization of disease-related mutations, increasing feature information by 60%.

Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • Post-genomic era necessitates integrated data management for complex biological systems.
  • Diverse data from genomics, proteomics, and transcriptomics require new analytical tools.
  • Protein family multiple sequence alignments offer an ideal framework for data integration.

Purpose of the Study:

  • To develop a new information management system for analyzing protein families.
  • To integrate structural, functional, and evolutionary data for enhanced biological insights.
  • To facilitate knowledge extraction and presentation for biologists.

Main Methods:

  • Developed MACSIMS, a multiple alignment-based information management program.
  • Combined knowledge-based and ab initio sequence analysis methods.

Related Experiment Videos

  • Automated retrieval and propagation of structural/functional information from public databases.

    • Main Results:

    • MACSIMS achieved >99% specificity in propagating sequence features.
    • Characterized mutations in 100 human genetic disease proteins, increasing feature data by 60%.
    • Provided XML output for automated parsing and JalView integration for manual analysis.

    Conclusions:

    • MACSIMS offers a unique platform for detailed protein family analysis.
    • Facilitates knowledge extraction and presentation of pertinent biological information.
    • A web server and source code are publicly available.