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...
As superscalar processors become increasingly wide, it is inevitable that the large set of instructions to be fetched every cycle will span multiple noncontiguous basic blocks. Th...
Background: The presence of gaps in an alignment of nucleotide or protein sequences is often an inconvenience for bioinformatical studies. In phylogenetic and other analyses, for ...
Rodrigo Gouveia-Oliveira, Peter Wad Sackett, Ander...
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...
Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...