Showing 8 open source projects for "network security toolkit"

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  • 1

    openSEQ

    NGS compute distro proloaded with pipeline analysis software

    ...Software included (location - name): path - biobambam path - bwa path - bowtie2 path - bowtie path - cufflinks path - bcftools path - tophat path - scalpel path - samtools path - sra-toolkit path - bamtools path - delly path - delly-parallel path - picard-tools path - fastahack path - twoBitToFa ~/prog/java/ - mutect ~/prog/python/ - platypus ~/prog/java/ - gatk
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  • 2
    The Boolean Network Toolkit is an efficient and easy-to-use object-oriented C++ library which enables researchers to simulate ad carry out experiments (like attractor sampling and Derrida plot computation) on large boolean networks.
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  • 3
    GenoGUARD is a DNA sequence screening software that implements the best match method recommended by the federal government to detect the presence of biosecurity threats in synthetic DNA orders.
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  • 4
    A tool to construct the metabolic networks from KEGG, and compare the constructed metabolic networks. Phylogenetic trees can be constructed along the case.
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  • 5
    TMAJ is software for Tissue MicroArrays (TMA's). Patients, specimens, blocks, slides, cores, images, and scores can all be stored and viewed. Features include advanced security, custom dynamic fields, and an image analysis program.
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  • 6

    Vascular Network Toolkit for ImageJ

    A plugin for segmentation and analysis of images of vascular networks.

    A plugin package for ImageJ that assists with quantification and characterization of vascular networks. The tool regularizes lighting, segments the vessels, and generates a skeletal description that reflects the biological structures of interest.
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  • 7
    Bio-SPHERE aims to create a flexible, secure and multimodal biometric platform for applications that require biometrics. Bio-SPHERE is formed by a network of interacting nodes that interface with biometric hardware and offer biometric functions.
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  • 8
    Java/XML toolkit for research using Bayesian networks and other graphical models of probability (exact and approximate inference, structure learning, etc.)
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