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Related Experiment Videos

Genome sequences and great expectations.

I Iliopoulos1, S Tsoka, M A Andrade

  • 1Computational Genomics Group, Research Programme, The European Bioinformatics Institute, EMBL Cambridge Outstation, Cambridge, CB10 1SD, UK.

Genome Biology
|February 24, 2001
PubMed
Summary
This summary is machine-generated.

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Automatic function assignment can predict gene function for nearly two-thirds of genes analyzed. Large-scale experimental determination of protein function remains essential despite computational biology advancements.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Analysis of 31 genome sequences to evaluate automatic function assignment.
  • Assessment of contribution to genome annotation over the next five years.

Discussion:

  • Predictive power of automatic function assignment for gene function.
  • Comparison of computational predictions with experimental validation needs.

Key Insights:

  • Function can be predicted for approximately 66% of 73,500 analyzed genes.
  • Emerging patterns in automatic function assignment.

Outlook:

  • Continued need for experimental protein function determination.
  • Future role of computational methods in genome annotation.

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