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Related Experiment Videos

BlastAlign: a program that uses blast to align problematic nucleotide sequences.

Robert Belshaw1, Aris Katzourakis

  • 1Department of Biological Sciences, Imperial College Silwood Park Campus, Ascot, Berks SL5 7PY, UK. r.belshaw@imperial.ac.uk

Bioinformatics (Oxford, England)
|August 18, 2004
PubMed
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BlastAlign is a novel tool for creating multiple nucleotide alignments, especially for sequences with large indels. It identifies homologous regions and extracts alignments, aiding in visual subgroup identification.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomic Analysis

Background:

  • Multiple nucleotide sequence alignment is crucial for evolutionary and functional genomic studies.
  • Aligning sequences with significant variations like large indels presents a major computational challenge.
  • Existing alignment tools may struggle with highly divergent sequences, necessitating specialized approaches.

Purpose of the Study:

  • To introduce BlastAlign, a software tool designed for robust multiple nucleotide alignment.
  • To provide a method for aligning sequences characterized by large insertions or deletions (indels).
  • To facilitate the identification of homologous regions and subgroups within challenging sequence datasets.

Main Methods:

  • BlastAlign utilizes the NCBI blastn algorithm to construct multiple nucleotide alignments.

Related Experiment Videos

  • It generates a homology matrix to identify and select a 'most representative' sequence.
  • The program extracts a query-anchored multiple alignment based on the selected representative sequence.
  • BlastAlignP, an extension, uses tblastn to align nucleotide sequences to a single amino acid sequence, preserving open reading frames.
  • Main Results:

    • BlastAlign successfully generates multiple nucleotide alignments for sequences with large indels.
    • The homology matrix visually aids in identifying subgroups within the aligned sequences.
    • An option to designate alternative 'most representative' sequences enhances alignment flexibility.
    • BlastAlignP effectively maintains open reading frames during nucleotide-to-amino acid sequence alignment.

    Conclusions:

    • BlastAlign offers a valuable solution for aligning difficult nucleotide sequences, particularly those with large indels.
    • The tool's matrix-based approach and flexibility in selecting representative sequences improve alignment quality and interpretability.
    • BlastAlign and BlastAlignP provide researchers with powerful, freely available bioinformatics tools for sequence analysis.