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STEME: A Robust, Accurate Motif Finder for Large Data Sets
Motif finding is a difficult problem that has been studied for over 20 years. Some older popular motif finders are not suitable for analysis of the large data sets generated by next-generation sequencing. We recently published an efficient approximation (STEME) to the EM algorithm that is at the cor...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3953122/ https://www.ncbi.nlm.nih.gov/pubmed/24625410 http://dx.doi.org/10.1371/journal.pone.0090735 |