Archive for the ‘Big Data’ Category
Breaking the storage bottleneck for accelerated biocomputing
There is an interesting commentary about accelerated biocomputing by Martin Gollery, founder of Tahoe Informatics. Article features the technological gap between processors and hard-disk drive technology. According to Martin, the speed of hard-disk drive technology has not improved at the [...]
Google BigQuery and Prediction APIs = Wishlist of a computational biologist
Recent Google IO was amazing, from a developer’s point of view I liked most of talks. But this particular talk about latest Google offering BigQuery and Prediction APIs is of particular interest for bioinformatics and computational biology community. While Google’s [...]
Non-PhD scientists are only hope if you want to battle floods of scientific data
This post may not surprise you if you already read the latest Nature editorial Do scientists really need a PhD? Before we talk about real issues, my first advice for aspiring PhD student – don’t read too much into anti-PhD [...]
IBM's latest anomaly-finding algorithm crunches 9TB of numbers in 20 minutes
This is one of many surprises you can always expect from big blues, in fact IBM has always focused to develop the efficient computational algorithms in order to reduce the computational complexity and cost related to the processing of the [...]
MapReduce goes evolutionary
Scientists from Texas A&M University have developed a new algorithm MrsRF (MapReduce Speeds up Robinson-Foulds) for analyzing large collection of evolutionary trees using MapReduce framework. Matthews et. al, have used their MapReduce algorithm to compute all-to-all Robinson-Foulds (RF) distance matrix [...]
A new big data Avatar
Seems like James Cameron‘s Avatar is setting all new standards for film industry. Cameron and his team used best of breed technology including new 3D stereoscopic digital formats and monitors. To handle unprecedented amount of data generated due to use [...]
