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STEME: efficient EM to find motifs in large data sets
MEME and many other popular motif finders use the expectation–maximization (EM) algorithm to optimize their parameters. Unfortunately, the running time of EM is linear in the length of the input sequences. This can prohibit its application to data sets of the size commonly generated by high-throughp...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3185442/ https://ncbi.nlm.nih.gov/pubmed/21785132 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkr574 |
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