Search Results for "cluster computing"

...RNA-seq analyses typically begin by mapping reads to a reference genome in order to determine the location from which the reads were originated, which is a very time-consuming step. This tool allows bioinformatics researchers to efficiently distribute their mapping tasks over the nodes of a cluster by combining a fast multithreaded spliced aligner (HISAT2) with Apache Hadoop, which is a distributed computing framework for scalable Big Data processing. HSRA currently supports single-end and paired-end read alignments from FASTQ/FASTA datasets. Moreover, our tool uses the Hadoop Sequence Parser (HSP) library (link above) to efficiently read the input datasets stored on the Hadoop Distributed File System (HDFS), being able to process datasets compressed with Gzip and BZip2 codecs.

birgHPCC is a major improvement over birgHPC (http://sourceforge.net/projects/birghpc/). While retaining the major functions of the original birgHPC, including automated computing cluster conversion and auto slots detection, the new version (birgHPCC) is capable of creating and configuring a compute unified device architecture (CUDA) computing cluster, hence the extra “C” in the name. In addition to the increase in image size (less than 2 gigabytes) and a new Linux base (previously Debian, now Ubuntu), CUDA-capable bioinformatics software programs, such as NAMD, HOOMD-blue, VMD, GPU-HMMER and GPU-BLAST, are pre-installed in birgHPCC, along with the CUDA driver, libraries and software development kit (SDK). ...

birgHPC is a Linux Live CD distribution based on PelicanHPC and Debian Live. birgHPC features automated cluster configuration on PCs in the same network specifically for bioinformatics and molecular dynamics. If you are looking for CUDA support, try birgHPCC (https://sourceforge.net/projects/birghpcc/) If you use birgHPC in your work, please cite us: Teong Han Chew, Kwee Hong Joyce-Tan, Farizuwana Akma and Mohd Shahir Shamsir. birgHPC: creating instant computing clusters for bioinformatics and molecular dynamics. ...

Cluster Networks are a new style of neural simulation / neural network modeling, that models networks of neural populations ("clusters") that transform and transmit information using precisely-timed, graded bursts ("pulses" or "volleys") of firing.

The Integrative Biology VRE is a web-based graphical user interface and repository that provides an environment where biological simulation experiments can be constructed without the need for any knowledge of unix, cluster computing, or shell scripting.