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Showing 5 open source projects for "bwa"

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  • 1
    BarraCUDA Fast Short Read Aligner
    Barracuda is a high-speed sequence aligner based on Sanger's BWA and utilizes the latest Nvidia CUDA architecture for accelerating alignments of sequence reads generated by next-generation sequencers.
    Downloads: 2 This Week
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  • 2
    ...This aligner proposes a general approach to properly aligning both easy and hard reads to large genomes such as the human genome. Perform evaluation on alignment quality reals that CUSHAW3 consistently outperforms CUSHAW2, BWA-MEM, Bowtie2 and GEM in terms of single-end and paired-end alignment. Furthermore, our aligner has demonstrated better paired-end alignment performance than Novalign3 for short-reads with high error rates.
    Downloads: 0 This Week
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  • 3

    SAMSVM

    A tool for misalignment filtration on SAM-format sequences with SVM

    Applying the LIBSVM, a package of support vector machine, SAMSVM was developed to correctly detect and filter the misaligned reads of SAM format. Such filtration can reduce false positives in alignment and the following variant analysis.
    Downloads: 0 This Week
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  • 4
    MICA-aligner

    MICA-aligner

    Next-generation sequencing short reads aligner based on Intel® MIC

    Latest Code in GitHub: https://github.com/aquaskyline/MICA-aligner To better utilize MIC-enabled computers for NGS data analysis, we developed a new short-read aligner MICA that is optimized in view of MIC’s limitation and the extra parallelism inside each MIC core. Experiments on aligning 150bp paired-end reads show that MICA using one MIC board is ~4.85 times faster than the CPU-(multi-core)-based BWA-MEM and about the same speed as the GPU-based SOAP3-dp. Furthermore, MICA’s simplicity allows very efficient scale-up when multiple MIC boards are used in a node (3 cards gives a 14-fold speedup over 6-core BWA-MEM).
    Downloads: 0 This Week
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    Enterprise Job Scheduling Software

    Unify Enterprise Job Scheduling for Scale, Visibility, and Control

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  • 5
    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 reads with different lengths. SOAP3-dp natively supports BAM file format and provides the same scoring scheme as BWA, which enables it to be integrated into existing analysis pipelines. ...
    Downloads: 0 This Week
    Last Update:
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