Showing 13 open source projects for "analysis"

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  • 1
    PANDA

    PANDA

    A comprehensive and flexible quantification tool for proteomics data

    PANDA is a comprehensive and flexib tool for quantitative proteomics data analysis, which is developed based on our solid foundations in quantitative proteomics for years. Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. ...
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  • 2
    The Dataverse Network is a Java EE5 app that enables researchers to share data on-line. It provides data citation standards, facilitates preservation, distribution and replication of data, and includes statistical analysis. More at: http://thedata.org
    Downloads: 1 This Week
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  • 3

    NGSbinningpytools

    Python tools for binning NGS scaffolds to various genomes.

    Next generation sequencing has opened new avenues for sequencing prokaryotes which were difficult or either impossible to culture. Now, it is possible to sequence all organisms present in a metagenomic community. However, a critical problem is to determine the host organism for each genomic fragment present in the dataset. This project provides the computational tools for assigning the organismal identity for each genomic scaffold in the given dataset. For more detailed documentation...
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  • 4
    TOPS_CeMM

    TOPS_CeMM

    User Friendly Data Analysis Tool for Interaction Data

    TOPS provides the benchtop scientist with a free toolset to analyze, filter and visualize data from functional genomic gene-gene and gene-drug interaction screens with a flexible interface to accommodate various different technologies and analysis algorithms in addition to those already provided here.
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    GISBox by Citiviz

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  • 6
    R Unit test framework R functions implementing a standard Unit Testing framework, with additional code inspection and report generation tools
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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
    Hoea is a python module for hierarchical ontology enrichment analysis, which facilitated GO (Gene Ontology)/KO (KEGG Orthology) enrichment analysis at any desktop.
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  • 9
    GNUexp
    GNUexp is a GNUstep/Cocoa framework and a collection of tools helping you to plan, develop, and administer applications associated with visual psychophysics, experimental psychology and statistical data analysis.
    Downloads: 0 This Week
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  • 10
    ANOSE is a web application (a web site) that allows software engineers to collect information about software projects and perform statistical analysis on the data collected. A key goal in ANOSE is to provide an easy to use user interface and efficient da
    Downloads: 0 This Week
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  • 11
    The Vyper Dynamic Server framework is a pure-java library for use in the creation of backend / server platforms. VDS is specifically tailored for financial applications, and suited for many high-throughput, asynchronous and distributed environments.
    Downloads: 0 This Week
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  • 12
    Predictive Networks

    Predictive Networks

    Web application providing analysis of biomedical relationships.

    Web application providing analysis of biomedical relationships. Built using the Grails web application framework (http://grails.org/) with MySQL (http://www.mysql.com/) as a back-end datastore and utilizing R (http://www.r-project.org/) for statistical analysis. Developed by the Dana Farber Cancer Institute (http://compbio.dfci.harvard.edu/) and Entagen (http://www.entagen.com).
    Downloads: 0 This Week
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  • 13
    For software developers in domains involving statistical analysis, the "R + Java = Inf" project analyses and enhances the interoperability between the R and Java programming languages. The deliverables are source code, documentation and benchmarks.
    Downloads: 0 This Week
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