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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...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1940032/ https://ncbi.nlm.nih.gov/pubmed/17659089 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-261 |
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