Testing statistical significance scores of sequence comparison methods with structure similarity

  title={Testing statistical significance scores of sequence comparison methods with structure similarity},
  author={Tim Hulsen and J. de Vlieg and J. Leunissen and P. Groenen},
  journal={BMC Bioinformatics},
  pages={444 - 444}
BackgroundIn the past years the Smith-Waterman sequence comparison algorithm has gained popularity due to improved implementations and rapidly increasing computing power. However, the quality and sensitivity of a database search is not only determined by the algorithm but also by the statistical significance testing for an alignment. The e-value is the most commonly used statistical validation method for sequence database searching. The CluSTr database and the Protein World database have been… Expand
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