Protein and Nucleic Acid Sequence Database Searching: A Suitable Case for Parallel Processing

Abstract

Sequence analysis of protein and nucleic acid databases by exhaustive string-matching algorithms is effectively implemented on large processor-array machines, such as the I.C.L. DAP. An improved method of assessing the significance of the best alignments for proteins is described. Examples involving the cystic fibrosis antigen and Drosophila vitellogenins illustrate the usefulness of this approach.