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A Monte Carlo-based framework enhances the discovery and interpretation of regulatory sequence motifs
BACKGROUND: Discovery of functionally significant short, statistically overrepresented subsequence patterns (motifs) in a set of sequences is a challenging problem in bioinformatics. Oftentimes, not all sequences in the set contain a motif. These non-motif-containing sequences complicate the algorit...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2012
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3542263/ https://ncbi.nlm.nih.gov/pubmed/23181585 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-13-317 |
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