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A STATISTICAL ANALYSIS OF AMINO ACID CHANGES IN THE HUMAN GENOME

AMALAPURAPU, SUCHITRA S.

Abstract Details

2003, MS, University of Cincinnati, Engineering : Computer Science.
The advent of modern sequencing techniques has facilitated sequencing of the entire human genome. Single Nulceotide Polymorphisms (SNP’s) are of tremendous interest to biologists since SNP’s in the coding region of the DNA have been found to be a major cause of various genetic disorders. A detailed analysis of all the existing SNP’s in the human genome could throw light on the causes and effects of inheritance of various genetic diseases. This information can be used by pharmacogeneticists to develop new drugs or techniques to cure genetic disorders, which could revolutionize disease treatment. We have made an attempt to produce a summary of the amino acid jumps related to the Single Nulcleotide Polymorphisms (SNP’s) in the human genome. The summary of observed amino acid jumps and theoretical amino acid jumps have been compared and the discrepancy in their results has been recorded. The same analysis can also be extended to the genome of other organisms.
DR. YIZONG CHENG (Advisor)
57 p.

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Citations

  • AMALAPURAPU, S. S. (2003). A STATISTICAL ANALYSIS OF AMINO ACID CHANGES IN THE HUMAN GENOME [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1051720394

    APA Style (7th edition)

  • AMALAPURAPU, SUCHITRA. A STATISTICAL ANALYSIS OF AMINO ACID CHANGES IN THE HUMAN GENOME. 2003. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1051720394.

    MLA Style (8th edition)

  • AMALAPURAPU, SUCHITRA. "A STATISTICAL ANALYSIS OF AMINO ACID CHANGES IN THE HUMAN GENOME." Master's thesis, University of Cincinnati, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1051720394

    Chicago Manual of Style (17th edition)