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Statistical Software for Data Analysis and Clinical Trials01:12

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A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
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Published on: March 25, 2014

Design and utilization of epitope-based databases and predictive tools.

Nima Salimi1, Ward Fleri, Bjoern Peters

  • 1Division of Vaccine Discovery, La Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA. nsalimi@liai.org

Immunogenetics
|March 10, 2010
PubMed
Summary
This summary is machine-generated.

Immunological databases and online tools have advanced significantly, aiding researchers in basic and applied immunology. These resources, including the Immune Epitope Database, are crucial for analyzing immune epitope data and understanding diseases like influenza.

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Area of Science:

  • Immunology
  • Bioinformatics
  • Computational Biology

Background:

  • Publicly available immunological databases and online analysis resources have expanded significantly in the last decade.
  • These resources are now integral tools for both basic and applied research in immunology.
  • The Immune Epitope Database and Analysis Resource (IEDB) is a prominent example of such a resource.

Purpose of the Study:

  • To provide a general overview of available immunological databases and online analysis resources.
  • To review the Immune Epitope Database and Analysis Resource in detail, including its ontologies and analytical tools.
  • To discuss data curation processes and the utility of curated data for meta-analyses of epitope knowledge.

Main Methods:

  • Review of existing immunological databases and online resources.
  • Detailed examination of the Immune Epitope Database and Analysis Resource, focusing on ontologies and analytical tools.
  • Discussion of data curation methodologies and meta-analysis techniques for immunological data.
  • Analysis of database usage statistics and citation types to assess impact.

Main Results:

  • Significant progress in the scope and depth of immunological databases and analysis tools.
  • The Immune Epitope Database offers advanced tools for epitope prediction and analysis.
  • Curated data enables meta-analyses for diseases like influenza and malaria.
  • Immunological databases show increasing usage and citation impact within the scientific community.

Conclusions:

  • Immunological databases and online resources have become indispensable tools for immunologists.
  • The development of formal ontologies and analytical tools enhances data usability.
  • Data curation and meta-analysis are vital for synthesizing knowledge on critical diseases.
  • The growing impact and utility of these resources underscore their importance for scientific advancement.