Showing 7 open source projects for "multi-system"

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  • 1
    Maui

    Maui

    Maui is the Maltcms User Interface

    Maui is the Maltcms User Interface, a rich client application for Chromatography-Mass Spectrometry and related research areas.
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  • 2

    Waterloo

    Java-based scientific graphics

    Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab.
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  • 3
    EnvStats

    EnvStats

    An R Package for Environmental Statistics

    ...EnvStats brings the major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. 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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  • 4
    PheMaDB is a web-based data management system to store and analyze OmniLog Phenotype Microarray data. The manuscript can be accessed here: http://www.biomedcentral.com/1471-2105/12/109. Chang WE et al. BMC Bioinformatics. 2011 Apr 20;12(1):109.
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  • 5
    BigBang/Horizon is a proteomics data analysis pipeline with focus on the shotgun LC/MSMS workflow.
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  • 6
    Chipster is a biologist-friendly analysis software for high-throughput data. It contains over 200 analysis tools for next generation sequencing (NGS), microarray and proteomics data. Users can combine tools in automatic analysis workflows, which can be shared. Chipster's interactive visualizations allow users to select datapoints and create new gene lists. For NGS data Chipster contains a built-in genome browser, which highlights SNPs and automatically indexes BAM files and calculates...
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  • 7
    PROMPT is a system for retrieval, analysis, mapping and comparison of proteins. It allows easy mapping of different types of sequence IDs, data retrieval and integration, a multitude of analysis and comparison algorithms and a full-blown easy to use GUI.
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