Skip to main content
Integrated Intelligent Systems Lab
I2S
Integrated Intelligent Systems Lab
Home
People
All People
Principal Investigator
Research Scientists
Research Staff
Postdoctoral Fellows
Students
I2S Projects
Collaborators
Resources and Downloads
Join I2S
bioinformatics sequence alignment
An adaptive hybrid multiprocessor technique for bioinformatics sequence alignment
1 min read ·
Thu, Apr 29 2010
News
bioinformatics sequence alignment
Circuits
hybrid multiprocessor technique
Talal Bonny, et al., "An adaptive hybrid multiprocessor technique for bioinformatics sequence alignment." In 2010 5th cairo international biomedical engineering conference, 2010, 112. Sequence alignment algorithms such as the Smith-Waterman algorithm are among the most important applications in the development of bioinformatics. Sequence alignment algorithms must process large amounts of data which may take a long time. Here, we introduce our Adaptive Hybrid Multiprocessor technique to accelerate the implementation of the Smith-Waterman algorithm. Our technique utilizes both the graphics