GPU-based cloud service for multiple sequence alignments with regular expression constrains

Yu Shiang Lin*, Chun Yuan Lin, Yeh Ching Chung

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Multiple sequence alignments with constrains has become an important problem in the computational biology. The concept of constrained sequence alignment is proposed to incorporate the biologist's domain knowledge into sequence alignments such that the user-specified residues/segments are aligned together in the alignment results. Over the past decade, a series of constrained multiple sequence alignment tools were proposed in the literature. GPU-REMuSiC is a newest tool with the regular expression constrains and uses the graphics processing units (GPUs) with CUDA. GPU-REMuSiC can achieve 29× speedups for overall computation time by the experimental results. However, the execution environment of GPU-REMuSiC need to build, and it's a threshold for biologists to set up. Therefore, we design an intuitive friendly user interface for the potential cloud server with GPUs. Use the user interface through network, we can send the input data to remote server without cumbersome setting in local host. Finally, we can receive the alignment results from the remote cloud server with GPUs.

Original languageEnglish
Title of host publicationCloudCom 2012 - Proceedings
Subtitle of host publication2012 4th IEEE International Conference on Cloud Computing Technology and Science
Pages741-746
Number of pages6
DOIs
StatePublished - 2012
Event2012 4th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2012 - Taipei, Taiwan
Duration: 03 12 201206 12 2012

Publication series

NameCloudCom 2012 - Proceedings: 2012 4th IEEE International Conference on Cloud Computing Technology and Science

Conference

Conference2012 4th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2012
Country/TerritoryTaiwan
CityTaipei
Period03/12/1206/12/12

Keywords

  • CUDA
  • GPUs
  • cloud computing
  • dynamic programming
  • graphics processing units
  • multiple sequence alignments
  • parallel processing
  • regular expression
  • user interface

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