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Noncoding RNAs Databases: Current Status and Trends.

Vinicius Maracaja-Coutinho1, Alexandre Rossi Paschoal2, José Carlos Caris-Maldonado1

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Summary
This summary is machine-generated.

Researchers can navigate numerous public databases for noncoding RNA (ncRNA) data using a new classification system. This updated review indexes over 229 databases, aiding ncRNA research and disease studies.

Keywords:
BioinformaticsBiomedicalBiomedicineCirculating RNAsDatabasesDiseaseMicroRNANoncoding RNAsReviewlncRNA

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Area of Science:

  • Bioinformatics
  • Genomics
  • Molecular Biology

Background:

  • Public databases are crucial for noncoding RNA (ncRNA) research.
  • The proliferation of ncRNA databases presents challenges for data exploration and retrieval.
  • Existing reviews require updating to reflect the current landscape of ncRNA resources.

Purpose of the Study:

  • To classify and review public databases relevant to noncoding RNA research.
  • To update a previous review from 2012, incorporating new databases and trends.
  • To assess the utility of these databases for pathogen and disease research and the development of new web resources.

Main Methods:

  • Classification of databases based on information source, RNA type, source organisms, data formats, and retrieval mechanisms.
  • Updating and expanding a previous review to include over 229 public databases.
  • Analyzing trends in ncRNA research as reflected in database content.

Main Results:

  • A comprehensive classification system for ncRNA databases is presented.
  • The review indexes over 229 public databases, significantly updating previous work.
  • New trends in ncRNA research and database applications in disease studies are identified.

Conclusions:

  • Effective database classification enhances ncRNA research accessibility and usability.
  • The updated review provides a valuable resource for researchers, particularly in disease-related studies.
  • Analysis of database schemas can guide the development of future web resources for ncRNA data.