IDEAS home Printed from https://ideas.repec.org/a/bjc/journl/v11y2024i11p100-107.html
   My bibliography  Save this article

Disease Diagnosis Using Pattern Matching in DNA Sequences

Author

Listed:
  • Sriram Anusha

    (NIT Warangal Telangana, India)

  • Raju Bhukya

    (NIT Warangal Telangana, India)

Abstract

The introduction of parallel algorithms, specifically OPSI (Overlapping Pair-Set Indexing) and the Finite State Automaton (FSA), addresses the imperative need for accelerated DNA sequence pattern matching in the dynamic landscape of biological databases. As these databases undergo frequent updates, the demand for faster, error-reduced algorithms in real-world applications intensifies. Experimental results showcase the parallel approach’s superior optimization and time efficiency, demonstrating its prowess over serial versions. Rigorous testing on the NCBI ‘Homo Sapiens’ dataset thoroughly evaluates all four algorithms—OPSI, FSA, and their serial counterparts—for disease diagnosis, meticulously recording and comparing their respective outputs and time efficiencies.

Suggested Citation

  • Sriram Anusha & Raju Bhukya, 2024. "Disease Diagnosis Using Pattern Matching in DNA Sequences," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(11), pages 100-107, November.
    • Handle: RePEc:bjc:journl:v:11:y:2024:i:11:p:100-107
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijrsi/digital-library/volume-11-issue-11/100-107.pdf
    Download Restriction: no
    File URL: https://rsisinternational.org/journals/ijrsi/articles/disease-diagnosis-using-pattern-matching-in-dna-sequences/
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bjc:journl:v:11:y:2024:i:11:p:100-107. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dr. Renu Malsaria (email available below). General contact details of provider: https://rsisinternational.org/journals/ijrsi/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.