We are living in the internet age where ‘big data’ exists. The analysis of these massive data cannot be handled by a single computer but a cluster of computers are required for doing computational tasks including analysis of these big data.
With the advancement of technologies for monitoring brain activity, unparalleled quantities of information are generating. These data may contain new insights into the functioning of brain. But the cluster of data is not easy to be handled. In an attempt to help proper management of the analysis of data, neuroscientists are now going to harness the power of distributed computing. For this, they will use a library of tools, called ‘Thunder’.
The Janelia Research Campus of Howard Hughes Medical Institute has developed ‘Thunder’. It is a single workstation that will help scientists in analysing complex data sets that are too big to handle easily.
Thunder expedites the analysis of those large and complex data sets which usually take days and weeks to be covered on a single workstation.
The technology was developed by Misha Ahrens, Jeremy Freeman and colleagues at Janelia and the University of California, Berkeley.
In their July 27 report, which was published in the journal Nature Methods, the Janelia group leaders illustrated about the use of Thunder in instantly finding out patterns in high-resolution pictures collected from the brains of mice and zebrafish via advanced multiple imaging techniques.
Researchers said that Thunder reduced the analysis timing by a significant difference. It took just minutes instead of an hour to analyze brains of zebrafish.