Skip to main navigation Skip to search Skip to main content

Parallel processing of biological sequence comparison algorithms

  • Elizabeth W. Edmiston
  • , Nolan G. Core
  • , Joel H. Saltz
  • , Roger M. Smith
  • Duke University
  • Yale University

Research output: Contribution to journalArticlepeer-review

58 Scopus citations

Abstract

Comparison of biological (DNA or protein) sequences provides insight into molecular structure, function, and homology, and is increasingly important as the available databases become larger and more numerous. One method of increasing the speed of the calculations is to perform them in parallel. We present the results of initial investigations using the Intel iPSC/1 hypercube and the Connection Machine (CM-I) for these comparisons. Since these machines have very different architectures, the issues and performance trade-offs discussed have a wide applicability for the parallel processing of biological sequence comparisons.

Original languageEnglish
Pages (from-to)259-275
Number of pages17
JournalInternational Journal of Parallel Programming
Volume17
Issue number3
DOIs
StatePublished - Jun 1988

Keywords

  • biological sequences
  • Parallel computation
  • string matching

Fingerprint

Dive into the research topics of 'Parallel processing of biological sequence comparison algorithms'. Together they form a unique fingerprint.

Cite this