Showing 5 open source projects for "dev-c packages"

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  • 1
    DBSolveOptimum

    DBSolveOptimum

    The software for systems biology/pharmacology modeling

    DBSolveOptimum is a stand-alone software tool for the construction and analysis of mathematical models of biological systems. It is a succession and extension of DBSolve 5 and DBSolve 7, which were popular tools for systems biology. In addition to the capabilities of these software packages, DBSolveOptimum is implemented with new tools for extended data analysis and multiple simulations, which are important for simulation of virtual clinical trials and application of modern modeling...
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  • 2

    GENIE (GEne-geNe IntEraction)

    GPU based Parallel Gene-Gene Interaction Analysis

    Gene-gene interaction in genetic association studies is computationally intensive when a large number of SNPs are involved. Most of the latest Central Processing Units (CPUs) have multiple cores, whereas Graphics Processing Units (GPUs) also have hundreds of cores and have been recently used to implement faster scientific software. However, currently there are no genetic analysis software packages that allow users to fully utilize the computing power of these multi-core devices for genetic...
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  • 3

    GenNon-h

    Simulating non-homogeneous multiple sequence alignments

    A number of software packages are available to generate DNA MSAs evolved under continuous-time Markov processes on phylogenetic trees. On the other hand, methods of simulating the DNA MSA directly from the transition matrices do not exist. Moreover, existing software restricts to the time-reversible models and it is not optimized to generate nonhomogeneous data (i.e. placing distinct substitution rates at different lineages). GenNon-H is the first package designed to generate multiple...
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  • 4
    BIL++
    BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
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  • 5
    We use R (www.r-project.org) in order to generate a greater specificity and sensitivity of protein identification by Mass Spectrometry. These functions are implemented as add-on packages to the open source GPL software R.
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