May 18, 2016 � This illustrates how GISMO's inferred position-specific gap penalties tend to align sequences as conserved indel-sparse “blocks”, which�...
May 18, 2016 � We describe a Bayesian Markov chain Monte Carlo (MCMC) sampler for protein multiple sequence alignment (MSA) that, as implemented in the�...
May 18, 2016 � (ii) It infers position-specific gap penalties that favor insertions or deletions (indels) within each sequence at alignment positions in which�...
A Bayesian Markov chain Monte Carlo (MCMC) sampler for protein multiple sequence alignment (MSA) that, as implemented in the program GISMO and applied to�...
Transition probabilities are inferred from the sequence data. Note that the HMM is local with respect to each sequence but global with respect to the model.
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Bayesian Top-Down Protein Sequence Alignment with Inferred Position-Specific Gap Penalties. https://doi.org/10.1371/journal.pcbi.1004936 � Full text.
Bayesian Top-Down Protein Sequence Alignment with Inferred Position-Specific Gap Penalties. A. Neuwald, and S. Altschul. PLoS Comput. Biol., (2016 ).
GISMO is a Markov chain Monte Carlo sampler for protein multiple sequence alignment. Features central to its performance are: (i) A “top-down” strategy with�...
REFERENCES. Neuwald, A.F and S. F. Altschul. 2016. Bayesian Top-down Protein Sequence Alignment with Inferred Position-Specific Gap Penalties. Plos Comp.
... Bayesian Top-Down Protein Sequence Alignment with Inferred Position-Specific Gap Penalties. PLoS Comput Biol 12:e1004936. Yu, Yi-Kuo; Capra, John A�...