most citedBeyond similarity assessment: Selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

q-bio.QM2017★ 1 cited

Beyond similarity assessment: Selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm

Taikai Takeda, Michiaki Hamada

Pair Hidden Markov Models (PHMMs) are probabilistic models used for pairwise sequence alignment, a quintessential problem in bioinformatics. PHMMs include three types of hidden sta…