GenomeStack Big Data Analytics Database
News May 29, 2015
The GenomeStack Big Data Analytics platform has been developed specifically for bioinformatics researchers, data scientists and analysts conducting genome research. The database replaces the traditional file-based, manual process for storing and analyzing genome sequenced data.Post-aligned sequencing data from multiple samples is stored in an ultra-fast and highly scalable SQL database, enabling querying of a large number of samples simultaneously. Thus, an analysis of 50 BAM files with 30 billion rows of aligned sequencing data, can be analyzed in under a minute, while providing a detailed drill-down from all participating samples to the single read level in order to review the nucleotides distribution on a specific chromosome position.
Small imperfections in a wine glass or tiny creases in a contact lens can be tricky to make out, even in good light. In almost total darkness, images of such transparent features or objects are nearly impossible to decipher. But now, engineers at MIT have developed a technique that can reveal these “invisible” objects, in the dark.
For scientists wrestling with problems as diverse as containing superhot plasma in a fusion reactor, improving the accuracy of weather forecasts, or probing the unexplained dynamics of a distant galaxy, turbulence-spawning shear flow is a serious complicating factor. A new supercomputer-powered effort aims to make modelling shear far easier.