Journal of Proteomics & Bioinformatics
Open Access

Susmita Datta

Publications

• Research Article
  Statistical Analyses of Next Generation Sequence Data: A Partial overview
  Author(s): Susmita Datta, Somnath Datta, Seongho Kim, Sutirtha Chakraborty and Ryan S. Gill Susmita Datta, Somnath Datta, Seongho Kim, Sutirtha Chakraborty and Ryan S. Gill
  
  Next generation sequencing has revolutionized the status of biological research. For a long time, the gold standard of DNA sequencing was considered to be the Sanger method. However, in 2005, commercial launching of next generation sequencing has made it possible to generate massively parallel and high resolution DNA sequence data. Its usefulness in various genomic applications such as genome-wide detection of SNPs, DNA methylation profi ling, mRNA expression profi ling, whole-genome re-sequencing and so on are now well recognized. There are several platforms for generating next generation sequencing (NGS) data which we briefl y discuss in this mini overview. With new technologies come new challenges for the data analysts. This mini review attempts to present a collection of selected topics in the current development of statistical methods dealing with these novel dat.. View More»
  DOI: 10.4172/jpb.1000138

  Abstract PDF

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