Using context to improve protein domain identification

@inproceedings{Ochoa2010UsingCT,
  title={Using context to improve protein domain identification},
  author={Alejandro Ochoa and Manuel Llin{\'a}s and Mona Singh},
  booktitle={BMC Bioinformatics},
  year={2010}
}
BackgroundIdentifying domains in protein sequences is an important step in protein structural and functional annotation. Existing domain recognition methods typically evaluate each domain prediction independently of the rest. However, the majority of proteins are multidomain, and pairwise domain co-occurrences are highly specific and non-transitive.ResultsHere, we demonstrate how to exploit domain co-occurrence to boost weak domain predictions that appear in previously observed combinations… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 44 REFERENCES

PlasmoDB: a functional genomic database for malaria parasites

  • Nucleic Acids Research
  • 2008
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

SMART 6: recent updates and new developments

  • Nucleic Acids Research
  • 2009
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Enhanced protein domain discovery by using language modeling techniques from speech recognition.

  • Proceedings of the National Academy of Sciences of the United States of America
  • 2003
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Methods for assessing the statistical significance of molecular sequence features by using general scoring schemes.

  • Proceedings of the National Academy of Sciences of the United States of America
  • 1990
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL