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Bioinformatics tools: alternative approach for Poly Cystic Ovary Syndrome (PCOS) Detection

Author Affiliations

  • 1Biotechnology, School of Pharmaceutical and Health care Sciences, CT University, Ludhiana, India
  • 2Biotechnology, School of Pharmaceutical and Health care Sciences, CT University, Ludhiana, India

Int. Res. J. Biological Sci., Volume 10, Issue (1), Pages 14-18, February,10 (2021)


Poly cystic ovary syndrome (PCOS) is a complex endocrine disorder prevailing among women of reproductive age, specifically high in teenage girls and has become the most accepted cause of menstrual irregularities and infertility among them. Therefore, it was thought to explore an alternative approach for disease detection, prevention or treatment for PCOS with the help of bioinformatics. Bioinformatics is an expanding field of science involving biology, computer science and mathematics. It is growing in every field of life science including molecular sciences, biotechnology, medicine, agriculture and more. Genetic information stored in the bioinformatics tools can be used to develop personal medicine. In another study, it is said that although the genetics and mechanism of PCOS are not yet understood, the computational tools may be helpful in finding the cause of this syndrome and this will also help in prevention of the disease. In the present study, the gene and genome sequences responsible for causing PCOS have been identified using bioinformatics tools like BLAST, PDB, NCBI. This will help to prevent the disease by genetic manipulations. Finally, the primers have been designed using primer designing tools in NCBI which can be further used for the treatment of the disease by manipulating the identified gene through polymerase chain reaction.


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