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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3542263/ https://www.ncbi.nlm.nih.gov/pubmed/23181585 http://dx.doi.org/10.1186/1471-2105-13-317 |