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Related Experiment Videos

Bellerophon: a program to detect chimeric sequences in multiple sequence alignments.

Thomas Huber1, Geoffrey Faulkner, Philip Hugenholtz

  • 1ComBinE group, Advanced Computational Modelling Centre, The University of Queensland, Brisbane 4072, Australia.

Bioinformatics (Oxford, England)
|April 10, 2004
PubMed
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Bellerophon identifies chimeric sequences in DNA datasets using partial treeing analysis. This program is particularly useful for detecting 16S rRNA gene chimeras in environmental samples.

Area of Science:

  • Bioinformatics
  • Molecular Biology
  • Genomics

Background:

  • Chimeric sequences can arise during PCR amplification, leading to artifacts in molecular datasets.
  • Accurate identification of chimeric sequences is crucial for reliable phylogenetic and population analyses.
  • Existing methods may have limitations in detecting certain types of chimeras or handling large datasets.

Purpose of the Study:

  • To introduce Bellerophon, a novel program designed for the detection of chimeric sequences.
  • To adapt partial treeing analysis for efficient chimera identification in nucleotide sequence alignments.
  • To provide a user-friendly tool for researchers working with PCR-clone libraries and other sequence data.

Main Methods:

  • Utilizes an adaptation of partial treeing analysis for sequence comparison.

Related Experiment Videos

  • Applies a computational approach to identify chimeric sequences within multiple sequence alignments.
  • Developed as an interactive web server for accessibility.

    • Main Results:

    • Bellerophon effectively detects chimeric sequences in various nucleotide datasets.
    • The program is specifically optimized for identifying 16S rRNA gene chimeras.
    • Demonstrates applicability to PCR-clone libraries from environmental samples.

    Conclusions:

    • Bellerophon offers a robust solution for chimera detection in sequence analysis.
    • The program enhances the accuracy of molecular data by filtering out chimeric artifacts.
    • Facilitates more reliable downstream analyses in fields such as microbial ecology and evolutionary biology.