Testing statistical significance scores of sequence comparison methods with structure similarity

@article{Hulsen2006TestingSS,
  title={Testing statistical significance scores of sequence comparison methods with structure similarity},
  author={Tim Hulsen and Jacob de Vlieg and Jack A. M. Leunissen and Peter M. A. Groenen},
  journal={BMC Bioinformatics},
  year={2006},
  volume={7},
  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… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 11 CITATIONS

Assessment of graphics processing units for acceleration of sequence database search programs

VIEW 11 EXCERPTS
CITES RESULTS, METHODS & BACKGROUND
HIGHLY INFLUENCED

Ranking MEDLINE documents

  • Journal of the Brazilian Computer Society
  • 2013
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 27 REFERENCES

Assessing sequence comparison methods with reliable structurally identified distant evolutionary relationships.

  • Proceedings of the National Academy of Sciences of the United States of America
  • 1998
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Improved tools for biological sequence comparison.

  • Proceedings of the National Academy of Sciences of the United States of America
  • 1988
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL