Brain Blooming / Data Intensive Age in Life Sciences: Next Generation Sequencing

Next-generation sequencing (NGS) technology has led to an unrivaled explosion in the amount of genomic data and this escalation has collaterally raised the challenges of sharing, archiving, integrat- ing and analyzing these data. The scale and efficiency of NGS have posed a challenge for analysis of these vast genomic data, gene interactions, annotations and expression studies. However, this lim- itation of NGS can be safely overcome by tools and algorithms using big data framework. Based on this framework, here we have reviewed the current state of knowledge of big data algorithms for NGS to reveal hidden patterns in sequencing, analysis and annotation, and so on.