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Related Experiment Videos

Blast sampling for structural and functional analyses.

Anne Friedrich1, Raymond Ripp, Nicolas Garnier

  • 1Laboratoire de Bioinformatique et Génomique Intégratives, Institut de Génétique et de Biologie Moléculaire et Cellulaire, Illkirch, France. friedric@igbmc.u-strasbg.fr <friedric@igbmc.u-strasbg.fr>

BMC Bioinformatics
|February 27, 2007
PubMed
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Efficiently sampling homologous sequences is crucial in the post-genomic era. This study compares four methods to reduce sequence data while retaining key information for structural and functional analysis.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • The post-genomic era generates vast amounts of biological data, making sequence similarity searches yield numerous homologous sequences.
  • Analyzing this large volume of data for structural, functional, and evolutionary insights is challenging.
  • Efficient strategies are needed to sample sequence space and reduce the number of sequences for analysis while retaining critical information.

Purpose of the Study:

  • To compare the efficiency of four different sequence sampling methods.
  • To identify a sampling strategy that reduces the number of homologous sequences while preserving essential information for structural and functional studies.

Main Methods:

  • Evaluated four distinct sampling methods on a large dataset of 284 protein families.

Related Experiment Videos

  • Compared methods based on user-defined parameters (maximal number or percentage) and automatic program-determined selection.
  • Utilized multiple sequence alignment as the primary validation tool to assess information content.
  • Analyzed the impact of sampling on E-value distributions, sequence coverage, alignment quality, and active site characterization.

    • Main Results:

    • Four sampling methods were compared for their efficiency in selecting pertinent homologous sequences.
    • The study analyzed the information content of sampled sets using multiple sequence alignment.
    • The influence of sampling methods on E-value distributions, sequence coverage, alignment quality, and active site characterization was investigated.

    Conclusions:

    • A suitable sampling strategy was identified through comparative analysis of the four methods.
    • The proposed strategy significantly reduces the number of homologous sequences needed for alignment.
    • This approach effectively maintains relevant information, particularly concerning active site residues.