HH-MOTiF: de novo detection of short linear motifs in proteins by Hidden Markov Model comparisons.
Roman PrytuliakMichael VolkmerMarkus MeierBianca HabermannPublished in: Nucleic Acids Res. (2017)
Keyphrases
- hidden markov models
- structural motifs
- motif discovery
- motif finding
- binding sites
- dna sequences
- human genome
- motif discovery algorithm
- biological sequences
- protein sequences
- dna binding
- protein protein interactions
- conditional random fields
- cis regulatory
- network motifs
- markov models
- markov model
- computational biology
- speech recognition
- gesture recognition
- protein folding
- protein families
- sequential data
- anomaly detection
- dynamic probabilistic networks
- hierarchical hidden markov model
- hidden states
- discriminative training
- amino acids
- hidden state
- data mining tasks
- computational methods
- pattern discovery
- multi stream
- viterbi algorithm
- baum welch
- handwritten word recognition
- statistical significance
- sequence data
- complex networks
- continuous hidden markov models