Accelerating iterative protein sequence alignment on a heterogeneous GPU-CPU platform.
Mai SaidMona SafarMohamed TaherAyman M. WahbaPublished in: HPCS (2016)
Keyphrases
- protein sequences
- multiple alignment
- multiple sequence alignment
- sequence alignment
- heterogeneous computing
- graphics processing units
- gpu implementation
- real time
- computational biology
- graphics processors
- multiple sequence alignments
- amino acids
- protein structure
- remote homology detection
- coarse grained
- protein classification
- secondary structure
- biological sequences
- rna sequences
- protein structure and function
- amino acid sequences
- protein folding
- psi blast
- general purpose
- sequence analysis
- protein structure prediction
- fine grained
- parallel computing
- structural motifs
- protein secondary structure
- protein function
- solvent accessibility
- genetic algorithm
- computational approaches
- parallel implementation
- intel xeon
- amino acid composition
- experimentally determined
- parallel processing
- prediction accuracy
- machine learning