Showing 5 open source projects for "sparse"

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  • 1

    PSICOV

    The unofficial binary for PSICOV: Protein Sparse Inverse COVariance

    PSICOV (Protein Sparse Inverse Covariance estimation program) is a coevoultion algorithm applied to very large (typically >=1000 sequences) multiple sequence alignments for precise protein structural contact prediction. This is the unofficial precompiled Windows binary for PSICOV compiled by Chengxin Zhang at Fudan University. The source code is copyrighted by David T.
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  • 2
    riboshape

    riboshape

    Predicting ribosome footprint profile shapes from transcript sequences

    Riboshape is a suite of algorithms to predict ribosome footprint profile shapes from transcript sequences. It applies kernel smoothing to codon sequences to build predictive features, and uses these features to builds a sparse regression model to predict the ribosome footprint profile shapes. Reference: Liu, T.-Y. and Song, Y.S. Prediction of ribosome footprint profile shapes from transcript sequences. Proceedings of ISMB 2016, Bioinformatics, Vol. 32 No. 12 (2016) i183-i191.
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  • 3

    LightSpMV

    lightweight GPU-based sparse matrix-vector multiplication (SpMV)

    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 over cuSPARSE for single and double precision, respectively.
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  • 4

    Trowel - Sequencing Error Corrector

    Error Correction Module for Illumina Sequencing Reads

    ...Jan. 2013 by Euncheon Lim in Prof. Dr. Detlef Weigel's Lab in Max-Planck Institute for Developmental Biology. First of all, you have to install the exact version of boost(>=1.53.0), google sparse hash(>=2.0.2), GCC(>=4.6), autoconf(=2.69), and automake(=1.13).
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  • 5
    The igraph library

    The igraph library

    Library for creating and manipulating graphs

    This is a library for creating and manipulating graphs with focus on speedy operations for large, sparse graphs.
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