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Related Experiment Videos

Annotating non-coding RNAs with Rfam.

Sam Griffiths-Jones1

  • 1Wellcome Trust Sanger Institute Wellcome Trust Genome Campus, Hinxton, Cambridgeshire, United Kingdom.

Current Protocols in Bioinformatics
|April 23, 2008
PubMed
Summary
This summary is machine-generated.

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Non-coding RNA (ncRNA) genes create functional RNA, not proteins. Analyzing ncRNA families with sequence alignments aids understanding structure, function, and detection, as exemplified by the Rfam database.

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Non-coding RNA (ncRNA) genes produce functional RNA molecules instead of proteins.
  • The significance of ncRNAs in cellular processes, including structural, regulatory, and catalytic roles, is increasingly recognized.
  • Multiple sequence alignments of ncRNA families are crucial for elucidating their structure and function.

Purpose of the Study:

  • To highlight the importance of analyzing ncRNA families through sequence alignments.
  • To introduce Rfam as a valuable resource for ncRNA research.
  • To demonstrate how statistical models derived from alignments aid in detecting related ncRNA sequences.

Main Methods:

  • Utilizing multiple sequence alignments to analyze ncRNA families.

Related Experiment Videos

  • Developing structure-annotated alignments.
  • Employing covariance models for sequence detection.

    • Main Results:

    • Demonstrated that sequence alignments reveal insights into ncRNA structure and function.
    • Established Rfam as a curated database of ncRNA families.
    • Showcased the utility of covariance models in identifying homologous ncRNAs.

    Conclusions:

    • Multiple sequence alignments are powerful tools for studying ncRNA.
    • The Rfam database provides essential resources for ncRNA research.
    • Statistical models derived from alignments enhance the discovery of novel ncRNA sequences.