• DocumentCode
    703746
  • Title

    Understanding SNP — Gene associations in pancreatic cancer: A systems biology approach

  • Author

    Joseph, Nimish ; Gopakumar, G. ; Pradhan, Meeta ; Abdul Nazeer, K.A. ; Palakal, Mathew J.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol., Kozhikode, India
  • fYear
    2015
  • fDate
    19-21 Feb. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The findings of Human Genome Project revealed Single Nucleotide Polymorphisms (SNPs) as the most common form of genetic variations in humans. It also demonstrated the active role of SNPs in the genesis of many system disorders. Thus it is related to one or more diseases. SNP-Gene interactions across multiple diseases is a novel area of research which can result in understanding its commonality or uniqueness across population or disease clusters. This study with Pancreatic Cancer data gives a better and faster approach to make use of these associations and thereby to help in determining the disease causing SNPs and Genes which are common or unique across the disease cluster.
  • Keywords
    bioinformatics; biomedical engineering; cancer; genetics; SNP-gene interaction; disease cluster; gene association; pancreatic cancer data; single nucleotide polymorphism; Bioinformatics; Cancer; Diseases; Genomics; Systems biology; SNP; SNP-Gene Interaction; Systems Biology; drug discovery; genes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference on
  • Conference_Location
    Kozhikode
  • Type

    conf

  • DOI
    10.1109/SPICES.2015.7091515
  • Filename
    7091515