منابع مشابه
Motif Extraction: Normalization of Scores
This paper examines a method to normalize a score of a stochastic motif, represented by a hidden Markov model (HMM). The accuracy of the Z score method, which is one of the score normalization method, is compared with that of the whole search method.
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Sequence discovery tools play a central role in several fields of computational bi-ology. In the framework of Transcription Factor binding studies, motif finding algorithms ofincreasingly high performances are required to process the big datasets produced by new high-throughput sequencing technologies. Most existing algorithms are computationally demandingand often cannot suppor...
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BayesMD [1] is a probabilistic, Bayesian model for predicting novel transcription factor binding sites. Biological information about binding sites properties, background sequence models, occurrence and positional preferences are built into the model in modular fashion. Mixture prior parameters for the motif and background are trained using information on TFBSs and organismspecific promoter sequ...
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ژورنال
عنوان ژورنال: Discrete Applied Mathematics
سال: 2007
ISSN: 0166-218X
DOI: 10.1016/j.dam.2005.09.017