Authors :
S. Balamurugan, Dr. S Prasanna
Volume/Issue :
Volume 2 - 2017, Issue 9 - September
Google Scholar :
https://goo.gl/vvdGtU
Scribd :
https://goo.gl/7DkZqJ
Thomson Reuters ResearcherID :
https://goo.gl/3bkzwv
Abstract :
In the present information society, biological data are enormously increasing. After the successful achievement of Human Genome Project (HGP), the complete human genome sequence (reference genome) was made available in online resources for bioinformatics tools and services. Those data sets are large and complex (Big data), but analyzing and comparing these massive amount of genomic sequences paves way to understand the complex diseases to find the personalized medicines. Consequently, it is very important that every individual should know about human genome. Resources to access human genome are enormous, but only the researchers can access those resources by providing appropriate keywords and is not possible for a biologist with little computer knowledge. Therefore, a convenient and instinctual data interfaces are important to easily access, download, visualize and analyze human genomic data. With these requirements in mind, the present study proposed a web application development using “R programming along with Bioconductor packages” for CpG site frequency analysis of CpG Island, CpG non-island and CpG Island Shores & shelves (Downstream and Upstream) in human reference genome.Later the App will be hosted for the user’s further analysis.
Keywords :
Human Genome; Human Genome Project; CPG Island; R and Bioconductor
In the present information society, biological data are enormously increasing. After the successful achievement of Human Genome Project (HGP), the complete human genome sequence (reference genome) was made available in online resources for bioinformatics tools and services. Those data sets are large and complex (Big data), but analyzing and comparing these massive amount of genomic sequences paves way to understand the complex diseases to find the personalized medicines. Consequently, it is very important that every individual should know about human genome. Resources to access human genome are enormous, but only the researchers can access those resources by providing appropriate keywords and is not possible for a biologist with little computer knowledge. Therefore, a convenient and instinctual data interfaces are important to easily access, download, visualize and analyze human genomic data. With these requirements in mind, the present study proposed a web application development using “R programming along with Bioconductor packages” for CpG site frequency analysis of CpG Island, CpG non-island and CpG Island Shores & shelves (Downstream and Upstream) in human reference genome.Later the App will be hosted for the user’s further analysis.
Keywords :
Human Genome; Human Genome Project; CPG Island; R and Bioconductor
