Showing 5 open source projects for "spatial"

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  • 1
    OME-3DR

    OME-3DR

    3D cell reconstruction and quantitative analysis based on OME data

    For big OME data analysis, we integrate commonly used quantitative methods, describe our novel strategies to quantify and analyze biological markers related to the cell or organelle spatial-coordinate model, and present open-source OME-3-Dimensional Reconstruction (OME-3DR), a flexible, programmable and batch-oriented tool based on OME data, for reconstructing 3-dimensional (3D) spatial conformations and conducting further analyses, such as the identification, counting, localization and tracking of bio-imaging markers, calculation of model-contour parameters for association analyses, establishing spatial-coordinate system, 3D co-localization analyses and so on. ...
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  • 2

    chipexo

    model based analysis of ChIP-exo data

    ...MACExo has the following four steps: 1) sequencing data normalization and bias correction; 2) signal consolidation and noise reduction; 3) single nucleotide resolution border detection using Chebyshev Inequality; and 4) border matching using Gale-Shapley’s stable matching algorithm. When applied to yeast Reb1 and human CTCF ChIP-exo data, MACE is able to define TFBSs with higher sensitivity, specificity and spatial resolution, as evidenced by multiple criteria, such as motif enrichment, sequence conservation, nucleosome positioning, and open chromatin states.
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  • 3

    HEIMDALL

    High-End Interface for Monitoring & spatial Data Analysis using L2Norm

    HEIMDALL, short for High-End Interface for Monitoring and spatial Data Analysis using L2-Norm, is a set of public libraries written in JAVA which contains routines and algorithms for geodetic hardware connection. To observe objects (in general spatial points) continuous, HEIMDALL’s programmable logic arrays can be used to design monitoring systems. For data analysis an interface to the least-squares program JAG3D can be provided.
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  • 4
    EnvStats

    EnvStats

    An R Package for Environmental Statistics

    ...Also included are numerous built-in data sets from regulatory guidance documents and the environmental statistics literature. EnvStats combined with other R packages (e.g., for spatial analysis) provides the environmental scientist, statistician, researcher, and technician with tools to “get the job done!”
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  • 5

    ANDS SISS (DC4B) Project

    GIS-Enabled Infrastructure for Spatially Integrated Social Science

    An on-line GIS-enabled infrastructure for spatially integrated social science. A web-based open source e-research facility for social-spatial data analysis that incorporates GIS-enabled visualisation (mapping and classification) and statistical modelling capabilities.
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