Protein homology detection by HMM–HMM comparison
نویسنده
چکیده
Motivation: Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction and
منابع مشابه
Evaluation of the Hidden Markov Model for Detection of P300 in EEG Signals
Introduction: Evoked potentials arisen by stimulating the brain can be utilized as a communication tool between humans and machines. Most brain-computer interface (BCI) systems use the P300 component, which is an evoked potential. In this paper, we evaluate the use of the hidden Markov model (HMM) for detection of P300. Materials and Methods: The wavelet transforms, wavelet-enhanced indepen...
متن کاملSpeech enhancement based on hidden Markov model using sparse code shrinkage
This paper presents a new hidden Markov model-based (HMM-based) speech enhancement framework based on the independent component analysis (ICA). We propose analytical procedures for training clean speech and noise models by the Baum re-estimation algorithm and present a Maximum a posterior (MAP) estimator based on Laplace-Gaussian (for clean speech and noise respectively) combination in the HMM ...
متن کاملMetagenome and Metatranscriptome Analyses Using Protein Family Profiles
Analyses of metagenome data (MG) and metatranscriptome data (MT) are often challenged by a paucity of complete reference genome sequences and the uneven/low sequencing depth of the constituent organisms in the microbial community, which respectively limit the power of reference-based alignment and de novo sequence assembly. These limitations make accurate protein family classification and abund...
متن کاملProtein homology detection by HMM?CHMM comparison
MOTIVATION Protein homology detection and sequence alignment are at the basis of protein structure prediction, function prediction and evolution. RESULTS We have generalized the alignment of protein sequences with a profile hidden Markov model (HMM) to the case of pairwise alignment of profile HMMs. We present a method for detecting distant homologous relationships between proteins based on t...
متن کاملHidden Markov Models for Remote Protein Homology Detection
Genome sequencing projects are advancing at a staggering pace and are daily producing large amounts of sequence data. However, the experimental characterization of the encoded genes and proteins is lagging far behind. Interpretation of genomic sequences therefore largely relies on computational algorithms and on transferring annotation from characterized proteins to related uncharacterized prot...
متن کامل