Tag: bioinformatics
SOAP3: Ultra-fast GPU-based parallel alignment tool for short reads
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
BGI Genomics Institute Announces Cloud-Based DNA Sequencing Service Accelerated by NVIDIA GPU
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.
Call For Papers: High Performance Simulation of biological systems
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
EpiGPU: exhaustive pairwise epistasis scans on consumer level graphics cards
The implementation presented uses OpenCL – an open-source library designed to run on any commercially available GPU and on any operating system.
CAMPAIGN: Library of GPU-accelerated data clustering algorithms
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.
BarraCUDA: a fast short read sequence aligner using graphics processing units
BarraCUDA is designed to take advantage of the parallelism of GPU to accelerate the alignment of millions of sequencing reads generated by NGS instruments. By doing this, we could, at least in part streamline the current bioinformatics pipeline such that the wider scientific community could benefit from the sequencing technology.
Call for Papers: Parallel and Distributed Computing Challenges in Bioinformatics
One of the goals of the special issue is to discover how the bioinformatics scientific community is trying to take advantage of a variety of modern high-end parallel and distributed architectures.
BGI Genomics Institute Pioneering a New Era of Affordable Personalized Medicine with GPUs
BGI, the world’s largest genomics institute, has slashed the time to analyze batches of DNA sequencing data from nearly four days to just six hours using a NVIDIA Tesla GPU-based server farm. The speed up is considered a critically important step in determining, in an affordable manner, the chemical building blocks that make up a DNA molecule.
IEEE International Workshop on High Performance Computational Biology (HiCOMB 2012)
The goal of this workshop is to provide a forum for discussion of latest research in developing high-performance computing solutions to data-intensive and compute-intensive problems arising from molecular biology and related life sciences areas.
Impact of GPUs in genetic programming
Excellent overview just have been published in Soft Computing. Authors have sketched the threat offered to the software industry by the many times announced failure of Moore’s law, and how the also many times announced age of parallel computing may actually be upon us.
