Computational Analysis on Single Nucleotide Polymorphisms (SNPs) in Chromosome 6 of Human Reference Genome Using R Programming

Abstract

Single Nucleotide Polymorphisms (SNPs) are point mutations in the DNA sequence represent a common form of genetic variation present all over the genome sequences in human, which makes everyone as unique. There are a remarkable number of SNPs on the human genome, estimated at over 10 million average.  These are frequently associated with the development of genetic diversity and some may lead to genetic diseases.  So computational descriptive analysis are required for focus on SNPs according to their potentially deleterious impacts to human health. With these requirements in mind, the present study is developed a web application on descriptive analysis of SNPs in chromosome 6 of human reference genome.  The results display that how SNPs are occurred in chromosome 6 and this will be useful to the biologist for their further research on SNPs.  The web application is developed using R programming along with Bioconductor packages. Later the App will be hosted for the user’s further analysis.