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NONCODE: an integrated knowledge database of non-coding RNAs.

Changning Liu1, Baoyan Bai, Geir Skogerbø

  • 1Bioinformatics Laboratory, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.

Nucleic Acids Research
|December 21, 2004
PubMed
Summary
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NONCODE is a manually curated database of non-coding RNAs (ncRNAs), excluding transfer and ribosomal RNAs. It offers comprehensive information on ncRNA function, classification, and genomic context, aiding research in molecular biology.

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Genomics

Background:

  • Non-coding RNAs (ncRNAs) play crucial roles in cellular processes but are often overlooked.
  • Existing databases lack comprehensive, manually curated information on diverse ncRNA types.

Purpose of the Study:

  • To develop and present NONCODE, an integrated knowledge database for non-coding RNAs (ncRNAs).
  • To provide a manually curated resource with detailed information on ncRNA sequences, functions, and classifications.

Main Methods:

  • Automated filtering of ncRNAs from literature and GenBank, followed by rigorous manual curation.
  • Development of a novel 'process function class' system for ncRNA classification based on cellular roles.
  • Integration of ncRNA data including sequences, functions, cellular roles, locations, and related publications.

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Main Results:

  • The initial release (v1.0) contains 5,339 non-redundant ncRNA sequences from 861 organisms.
  • Over 80% of entries are supported by experimental data, ensuring high accuracy.
  • A user-friendly interface with visualization and search capabilities facilitates data access.

Conclusions:

  • NONCODE serves as a valuable, comprehensive resource for researchers studying non-coding RNAs.
  • The database enhances the understanding of ncRNA diversity, function, and biological significance.
  • NONCODE promotes efficient ncRNA research through accessible, curated, and integrated data.