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  • Open Access


    Artificial Fish Swarm for Multi Protein Sequences Alignment in Bioinformatics

    Medhat A. Tawfeek1,2,*, Saad Alanazi1, A. A. Abd El-Aziz3,4

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 6091-6106, 2022, DOI:10.32604/cmc.2022.028391

    Abstract The alignment operation between many protein sequences or DNA sequences related to the scientific bioinformatics application is very complex. There is a trade-off in the objectives in the existing techniques of Multiple Sequence Alignment (MSA). The techniques that concern with speed ignore accuracy, whereas techniques that concern with accuracy ignore speed. The term alignment means to get the similarity in different sequences with high accuracy. The more growing number of sequences leads to a very complex and complicated problem. Because of the emergence; rapid development; and dependence on gene sequencing, sequence alignment has become important… More >

  • Open Access


    BitmapAligner: Bit-Parallelism String Matching with MapReduce and Hadoop

    Mary Aksa1, Junaid Rashid2,*, Muhammad Wasif Nisar1, Toqeer Mahmood3, Hyuk-Yoon Kwon4, Amir Hussain5

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3931-3946, 2021, DOI:10.32604/cmc.2021.016081

    Abstract Advancements in next-generation sequencer (NGS) platforms have improved NGS sequence data production and reduced the cost involved, which has resulted in the production of a large amount of genome data. The downstream analysis of multiple associated sequences has become a bottleneck for the growing genomic data due to storage and space utilization issues in the domain of bioinformatics. The traditional string-matching algorithms are efficient for small sized data sequences and cannot process large amounts of data for downstream analysis. This study proposes a novel bit-parallelism algorithm called BitmapAligner to overcome the issues faced due to… More >

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