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A web-based platform for the annotation and analysis of NAR-published databases.

Marcel Friedrichs1, Cassandra Königs1

  • 1Bioinformatics / Medical Informatics Department, Bielefeld University, Bielefeld, NRW, Germany.

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Summary

A new web platform annotates and analyzes biological databases published in Nucleic Acids Research (NAR). It helps researchers select relevant databases by providing curated information on availability, updates, and downloadability.

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Area of Science:

  • Life Sciences
  • Bioinformatics
  • Scientific Databases

Background:

  • Biological databases are crucial for life science research.
  • Selecting relevant and current databases is challenging due to their large number and diversity.
  • Existing resources like Nucleic Acids Research (NAR) database issues offer limited information.

Purpose of the Study:

  • To develop a web-based platform for annotating and analyzing NAR-published biological databases.
  • To provide researchers with enriched data for informed database selection.
  • To offer insights into the current status and challenges of life science databases.

Main Methods:

  • Development of a web platform for manual curation and enrichment of NAR database entries.
  • Inclusion of data points such as availability, downloadability, source code, cross-references, and duplicates.
  • Implementation of statistics and visualizations for database landscape analysis (recency, status, category).

Main Results:

  • The platform currently hosts 2,246 database entries (2,025 unique).
  • Most databases were updated within the last five years.
  • Approximately 75% of databases are available, and over 50% offer download options.
  • Cross-references to Database Commons are available for 1,889 entries.

Conclusions:

  • The platform enhances the utility of NAR database information for researchers.
  • It provides valuable statistics and visualizations on the biological database landscape.
  • The tool aids researchers in database selection and decision-making, offering insights into database status and challenges.