Big Next Generation Sequencing Data

Science has kept changing its form from observational to experimental to data-driven in the field of life science. With the advancement of Next Generation Sequencing (NGS) technology, new findings are coming up with a great amount of responsibilities whereas storing and analysing these data is concern Li , Stephens et al. During last decade, the cost of sequencing has reduced heavily by allowing access to more scientists. A simple search in PUBMED can provide the scenario of exponential growth of the number of reports published using NGS technology. However, the deposition of raw data in the public domain is increasing dramatically outstripping the proper annotation of these data which is still half-cooked or ambiguous.