Search Results for "gpu-z"

OpenChrom is a tool for gas chromatography and mass spectrometry. The focus is to handle data files from different GC/MS and GC/FID systems and vendors. Its functionality and algorithms can be extended using a flexible plugin approach, based on Eclipse RCP.

SPANDx is your one-stop tool for identifying SNP and indel variants in haploid genomes using NGS data. SPANDx performs alignment of raw NGS reads against your chosen reference genome or pan-genome, followed by accurate variant calling and annotation, and locus presence/absence determination. SPANDx produces SNP and indel matrices for downstream phylogenetic analyses. Annotated, genome-wide SNPs and indels can also be identified if specified, and are output in human readable format. A...

LightSpMV is a novel CUDA-compatible sparse matrix-vector multiplication (SpMv) algorithm using the standard compressed sparse row (CSR) storage format. We have evaluated LightSpMV using various sparse matrices and further compared it to the CSR-based SpMV subprograms in the state-of-the-art CUSP and cuSPARSE. Performance evaluation reveals that on a single Tesla K40c GPU, LightSpMV is superior to both CUSP and cuSPARSE, with a speedup of up to 2.60 and 2.63 over CUSP, and up to 1.93 and 1.79...

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...

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...

CoDeCZ derives copy number state from targeted sequencing data on gene or exon level. Results are NOT true copy number however, but they are semi-quantitative: It uses the modified z-score to calculate deviation in normalized coverage per specified region. The higher the Z-score, the higher the copy number. The final z-score depends on the quality of the data and the makeup of the reference pool.

DecGPU (Distributed Error correction on GPUs) is a parallel and distributed error correction algorithm for large-scale short read assembly. It is implemented using CUDA C++ and MPI, running on a GPU cluster.