Search Results for "penetration testing linux"

Showing 9 open source projects for "penetration testing linux"

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  • 1
    TEACUP

    TEACUP

    TCP Experiment Automation Controlled Using Python

    TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP...
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  • 2
    We developed a systematic algorithmic solution for quantitative drug sensitivity scoring (DSS), based on continuous modeling and integration of multiple dose-response relationships in high-throughput compound testing studies. License: The DSS R-package is made available under the terms of the GNU General Public License, which means that the source code is freely available for use within other software, but if you alter the code and distribute it, you must make the new source code...
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  • 3

    IQuant

    A pipeline for quantitative proteomics based upon isobaric tags

    ...It integrates post-processing tool of protein identification and advanced statistical algorithms to process the MS/MS signals generated from the peptides labeled by isobaric tags for quantification. IQuant can run from a graphical user interface (GUI) as well as a command-line interface and work with both Windows and Linux system. This website contains the IQuant software, an example data labeled by iTRAQ-8plex for testing and a user's manual. If you have any question about IQuant, please contact me: wenbo@genomics.cn. The source code of IQuant can be found here "https://sourceforge.net/p/iquant/code/".
    Downloads: 3 This Week
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  • 4

    VariabilityAnalysisInNetworks

    An R package for identifying biologically perturbed networks

    The VAN package enables an integrative analysis of (i) gene expression data with protein-protein interaction networks or (ii) gene and microRNA expression data with microRNA-gene interaction networks to identify biologically perturbed networks.
    Downloads: 0 This Week
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  • 5
    R Unit test framework R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools
    Downloads: 0 This Week
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  • 6

    MCPerm: Monte Carlo SNP permutation

    Monte Carlo permutation method for SNP multiple test correlation

    MCPerm: A Monte Carlo permutation method for multiple test correlation in case-control association study Traditional permutation (TradPerm) test is an important non-parametric analysis method which can be treated as the gold standard for multiple testing corrections in case-control association study. However, it relies on the original single nucleotide polymorphism (SNP) genotypes and phenotypes data to perform a large number of random shuffles, and thus it is computationally intensive,...
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  • 7
    Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator
    Downloads: 0 This Week
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  • 8
    The RDXplorer is a computational tool for copy number variants (CNV) detection in whole human genome sequence data using read depth (RD) coverage. CNV detection is based on the Event-Wise Testing (EWT) algorithm recently published by our group.
    Downloads: 1 This Week
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  • 9
    This project aims at developing R-based Software for the analysis of typical neuroscientific data. These will include time resolved bootstrap tests and fitting and testing of psychometric functions.
    Downloads: 0 This Week
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