7 citations · 8 across the 3 of their papers we have counts for
3 papers
q-bio.QM2013
Probabilistic Approaches to Alignment with Tandem Repeats
Michal Nánási, Tomáš Vinař, Broňa Brejová
We propose a simple tractable pair hidden Markov model for pairwise sequence alignment that accounts for the presence of short tandem repeats. Using the framework of gain functions…
cs.DS2012★ 1 cited
Sequence Annotation with HMMs: New Problems and Their Complexity
Michal Nánási, Tomáš Vinař, Broňa Brejová
Hidden Markov models (HMMs) and their variants were successfully used for several sequence annotation tasks. Traditionally, inference with HMMs is done using the Viterbi and poster…
cs.DS2010★ 7 cited
The Highest Expected Reward Decoding for HMMs with Application to Recombination Detection
Michal Nánási, Tomáš Vinař, Broňa Brejová
Hidden Markov models are traditionally decoded by the Viterbi algorithm which finds the highest probability state path in the model. In recent years, several limitations of the Vit…