Using computational techniques, researchers have shown how a protein responsible for the maturation of the virus releases itself to initiate infection, This work has been carried out using GPUGRID.net, a voluntary distributed computing platform leveraging GPU accelerators to deliver “virtual supercomputing” performance.
Background Aligning short DNA reads to a reference sequence alignment is a prerequisite for detecting their biological origin and analyzing them in a phylogenetic context. With the PaPaRa tool we introduced a dedicated dynamic programming algorithm for simultaneously aligning short reads to reference alignments and corresponding evolutionary reference trees. The algorithm aligns short reads to…
IPV is an interactive protein visualizer based on a ray-tracing engine. Targeting high quality images and ease of interaction, IPV uses the latest GPU computing acceleration techniques, combined with natural user interfaces such as Kinect and Wiimotes.
Our GPU software delivers haplotyping and imputation accuracies comparable to competing programs at a fraction of the computational cost and peak memory demand.
Authors develop G-Aligner, which adopts the GPU as a hardware accelerator to speed up the sequence alignment process
SOAP3 is the first short read alignment tool that leverages the multi-processors in a graphic processing unit (GPU) to achieve a drastic improvement in speed
NVIDIA today announced that BGI, the world’s largest genomics institute, is launching a service that will enable researchers worldwide to perform affordable next-generation sequencing (NGS) bioinformatics analysis in the cloud.
The goal of this track is to explore the use of emerging parallel computing architectures as well as High Performance Computing systems for the simulation of relevant biological systems
The implementation presented uses OpenCL – an open-source library designed to run on any commercially available GPU and on any operating system.
CAMPAIGN is a library of data clustering algorithms and tools, written in ‘C for CUDA’ for Nvidia GPUs. The library provides up to two orders of magnitude speed-up over respective CPU-based clustering algorithms and is intended as an open-source resource.