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: Non-homology based methods such as phylogenetic profiles are effective for predicting functional relationships between proteins with no considerable sequence or struct...
Ryosuke Watanabe, Enrique Morett, Edgar E. Vallejo
Background: False occurrences of functional motifs in protein sequences can be considered as random events due solely to the sequence composition of a proteome. Here we use a nume...
Background: It is useful to develop a tool that would effectively describe protein mutation matrices specifically geared towards the identification of mutations that produce eithe...
Maria Pamela C. David, Carlo M. Lapid, Vincent Ric...
Visualization has an increasingly important role to play in scientific research. Moreover, visualization has a special role to play within artificial life as a result of the inform...