Grid Based Genome Wide Studies on Atrial Flutter

Andrea Calabria, Davide Di Pasquale, Matteo Gnocchi, Paolo Alessandro Cozzi, Alessandro Orro, Gabriele Antonio Trombetti, Luciano Milanesi

Research output: Contribution to journalArticle

Abstract

The Genetic Linkage Analysis of SNP (Single Nucleotide Polymorphism) markers permits the discovery of genetic correlations in complex diseases following their transmission through family generations. However, all major algorithms proposed in the literature require high computational power and memory availability, making large data sets very hard to analyze on a single CPU. A facility for achieving a Whole-Genome Linkage Analysis has been set up as a web application upon a highly distributed infrastructure: the EGEE Grid. Test cases have been run with 10,000 to one million SNPs per Chip and, after validation, the application has been effectively used for a study on cardiac conduction disorders.

Original languageEnglish
Pages (from-to)511-527
Number of pages17
JournalJournal of Grid Computing
Volume8
Issue number4
DOIs
Publication statusPublished - Apr 2010

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Keywords

  • Atrial flutter
  • Distributed computing
  • Grid
  • Linkage analysis

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Software

Cite this

Calabria, A., Di Pasquale, D., Gnocchi, M., Cozzi, P. A., Orro, A., Trombetti, G. A., & Milanesi, L. (2010). Grid Based Genome Wide Studies on Atrial Flutter. Journal of Grid Computing, 8(4), 511-527. https://doi.org/10.1007/s10723-010-9163-y