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: In many contexts, researchers need specific primers for all sequences in a family such that each primer set amplifies only its target sequence and none of the others, ...
Background: Proteins that evolve from a common ancestor can change functionality over time, and it is important to be able identify residues that cause this change. In this paper ...
Background: In proteomic analysis, MS/MS spectra acquired by mass spectrometer are assigned to peptides by database searching algorithms such as SEQUEST. The assignations of pepti...
Background: Accurate sequence alignments are essential for homology searches and for building three-dimensional structural models of proteins. Since structure is better conserved ...