RNA-Seq approach is used in a wide variety of applications. These include identifying disease-related genes, analysing the effects of drugs on tissues, and providing insight into disease pathways. The RNA-Seq is widely used to characterise gene expression patterns associated with tumor formation. Since RNA-Seq provides absolute values and does not require any calibration with arbitrary standards, results can be compared at any time with other data, even raised by independent laboratories. Once collected, this data can be digitalised and then easily and reliably compared in silico with the growing library of RNA-Seq databases generated for normal and pathological situations in other laboratories around the world (Human: ~27000 libraries. Average size of a library: 1.7GB. Total size: 120TB). The objectives of MaRS database is to provide and centralize a standardized data used in a wide variety of applications like identifying disease-related genes, analysing the effects of drugs on tissues or providing insight into disease pathways.
