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» Aggregation-based model reduction of a Hidden Markov Model
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BMCBI
2007
98views more  BMCBI 2007»
13 years 6 months ago
Duration learning for analysis of nanopore ionic current blockades
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties, with potential implications ...
Alexander G. Churbanov, Carl Baribault, Stephen Wi...
IPPS
2009
IEEE
14 years 1 months ago
Accelerating HMMer on FPGAs using systolic array based architecture
HMMer is a widely-used bioinformatics software package that uses profile HMMs (Hidden Markov Models) to model the primary structure consensus of a family of protein or nucleic aci...
Yanteng Sun, Peng Li, Guochang Gu, Yuan Wen, Yuan ...
BMCBI
2008
137views more  BMCBI 2008»
13 years 6 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
BMCBI
2002
108views more  BMCBI 2002»
13 years 6 months ago
A memory-efficient dynamic programming algorithm for optimal alignment of a sequence to an RNA secondary structure
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...
Sean R. Eddy
ASMTA
2008
Springer
167views Mathematics» more  ASMTA 2008»
13 years 8 months ago
Perfect Simulation of Stochastic Automata Networks
The solution of continuous and discrete-time Markovian models is still challenging mainly when we model large complex systems, for example, to obtain performance indexes of paralle...
Paulo Fernandes, Jean-Marc Vincent, Thais Webber