A data parallel strategy for aligning multiple biological sequences on multi-core computers

Faculty Computer Science Year: 2013
Type of Publication: ZU Hosted Pages: 350-361
Authors:
Journal: Computers in Biology and Medicine Computers in Biology and Medicine Volume: 4
Keywords : , data parallel strategy , aligning multiple biological    
Abstract:
In this paper, we address the large-scale biological sequence alignment problem, which has an increasing demand in computational biology. We employ data parallelism paradigm that is suitable for handling large-scale processing on multi-core
   
     
 
       

Author Related Publications

  • Ahmed Salah Mohamed Mostafa, "Artificial Intelligence and Machine Learning-Driven Decision-Making", Hindawi, 2021 More
  • Ahmed Salah Mohamed Mostafa, "Usages of Spark Framework with Different Machine Learning Algorithms", Hindawi, 2021 More
  • Ahmed Salah Mohamed Mostafa, "Efficient index-independent approaches for the collective spatial keyword queries", elsevier, 2021 More
  • Ahmed Salah Mohamed Mostafa, "A robust UWSN handover prediction system using ensemble learning", MDPI, 2021 More
  • Ahmed Salah Mohamed Mostafa, "Price Prediction of Seasonal Items Using Machine Learning and Statistical Methods", Tech Science Press, 2021 More

Department Related Publications

  • Wael Said AbdelMageed Mohamed, "A novel 8-connected Pixel Identity GAN with Neutrosophic (ECP-IGANN) for missing imputation", Springer Nature Limited, 2024 More
  • Doaa El-Shahat Barakat Mohammed, "Assessment of deep learning techniques for bone fracture detection under neutrosophic domain", Publisher University of New Mexico, 2024 More
  • Abdallah Gamal abdallah mahmoud, "Sustainable Flue Gas Treatment System Assessment for Iron and Steel Sector: Spherical Fuzzy MCDM-Based Innovative Multistage Approach", Hindawi, 2023 More
  • Abdallah Gamal abdallah mahmoud, "Multi-Criteria Decision-Making for Renewable Energy: Methods, Applications, and Challenges", Elsevier, 2023 More
Tweet