Background: One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because ...
Background: Remote homology detection is a challenging problem in Bioinformatics. Arguably, profile Hidden Markov Models (pHMMs) are one of the most successful approaches in addre...
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...
Background: The detection of relationships between a protein sequence of unknown function and a sequence whose function has been characterised enables the transfer of functional a...
Matching two images with similar contents is one of the most fundamental tasks in image processing. Due to its importance, in recent years, many novel techniques have been propose...