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  Published Paper Details:

  Paper Title

ADOPTING POWER BI IN IDENTIFYING DNA SEQUNCES USING FANSE3

  Authors

  Kandhati Tulasi Krishna kumar,  Kurumaddala Veda Srija Mahalaxmi

  Keywords

DNA, RNA sequencing, genetic code, FANSe3 algorithm, Next Generation Sequencing, Power BI, traditional medical reports, FASTQ file format

  Abstract


For diagnosis and treatment of disease, it'll usually take a long period of time until unless it is diagnosed at the initial stage. With genomic data(DNA sequences), the disease can be detected very soon, even prior to the symptom are shown. To read or map the DNA sequence any method or technology is needed. Among Sanger sequencing, capillary electrophoresis, Next Generation Sequencing, DNA microarray technology (DNA chip), most used and robust application is explained. And using FANSe3 algorithm, reports are generated and produced reports are analyzed using Power BI. This will help to detect the disease at very possible initial phase.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2302376

  Paper ID - 231361

  Page Number(s) - d68-d77

  Pubished in - Volume 11 | Issue 2 | February 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Kandhati Tulasi Krishna kumar,  Kurumaddala Veda Srija Mahalaxmi,   "ADOPTING POWER BI IN IDENTIFYING DNA SEQUNCES USING FANSE3", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 2, pp.d68-d77, February 2023, Available at :http://www.ijcrt.org/papers/IJCRT2302376.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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