Showing 4 open source projects for "cpu terminal"

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    Nifty Reg
    This project, initially developed at University College London, contains programs to perform rigid, affine and non-linear registration of nifti or analyse images. Two versions of the algorithms are included, a CPU- and a GPU- (using CUDA) based implementation.
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  • 2
    SOAP3-DP

    SOAP3-DP

    Fast, Accurate and Sensitive GPU-based Short Read Aligner

    Latest Code on GitHub: https://github.com/aquaskyline/SOAP3-dp SOAP3-dp, through leveraging the computational power of both CPU and GPU with optimized algorithms, delivers high speed and sensitivity simultaneously. Compared with widely adopted aligners including BWA, Bowtie2, SeqAlto, CUSHAW2, GEM and GPU-based aligners BarraCUDA and CUSHAW, SOAP3-dp was found to be two to tens of times faster, while maintaining the highest sensitivity and lowest false discovery rate (FDR) on Illumina...
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  • 3

    PASHA: Parallelized Short Read Assembly

    One of the fastest parallel short read assemblers for large genomes.

    PASHA is a parallel short read assembler for large genomes using de Bruijn graphs. Taking advantage of both shared-memory multi-core CPUs and distributed-memory compute clusters, PASHA has demonstrated its potential to perform high-quality de-novo assembly of large genomes in reasonable time with modest computing resources. Our evaluation using three small real paired-end datasets shows that PASHA is able to produce better assemblies with comparable genome coverage and mis-assembly rates...
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  • 4
    parastructure is a perl script collection to run the population genetics software STRUCTURE from Pritchard et al. 2000 (http://pritch.bsd.uchicago.edu/structure.html) in parallel on a cluster (beowulf type). Each run of K (the number of populations) is executed separately on each CPU of the cluster trough queue system based on PBS. A summary statistics table and distruct figures (Noah Rosenberg: http://www.stanford.edu/group/rosenberglab/distruct.html) are built at the end of the run. A...
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