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Applying negative rule mining to improve genome annotation
BACKGROUND: Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homology-based transfer of information from existing database entries to the new target sequences. We have previously demonstrat...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1940032/ https://www.ncbi.nlm.nih.gov/pubmed/17659089 http://dx.doi.org/10.1186/1471-2105-8-261 |