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Position Weight Matrix, Gibbs Sampler, and the Associated Significance Tests in Motif Characterization and Prediction
Position weight matrix (PWM) is not only one of the most widely used bioinformatic methods, but also a key component in more advanced computational algorithms (e.g., Gibbs sampler) for characterizing and discovering motifs in nucleotide or amino acid sequences. However, few generally applicable stat...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi Publishing Corporation
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3820676/ https://www.ncbi.nlm.nih.gov/pubmed/24278755 http://dx.doi.org/10.6064/2012/917540 |