Showing 6 open source projects for "complex"

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  • 1
    MetaErg

    MetaErg

    Metagenome Annotation Pipeline

    MetaErg is a stand-alone and fully automated metagenome and metaproteome annotation pipeline published at: https://www.frontiersin.org/articles/10.3389/fgene.2019.00999/full. If you are using this pipeline for your work, please cite: Dong X and Strous M (2019) An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs. Front. Genet. 10:999. doi: 10.3389/fgene.2019.00999 The instructions on configuring and running the MetaErg pipeline is available at GitHub...
    Downloads: 0 This Week
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  • 2

    oasis-genomics

    Oasis Genomics cancer omics integration portal

    OASIS is an application that enables complex analytical queries across somatic mutations; copy number changes (CNV); and gene expression data. OASIS has been built on top of the BIoMart frameworks and has been extended to incorporate unique tools and visualizations to facilitate analysis of complex cancer "Omics" datasets.
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  • 3
    ClinStudyWeb is designed to provide a flexible infrastructure for managing patient and assay data from clinical studies. It uses a plugin system for study-specific web forms and arbitrarily complex test classifiers, and supports XML import/export.
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  • 4
    BioGenie

    BioGenie

    BioGenie is presented as a complete package for Biological solutions.

    ...Accommodating all three platforms, that is, a desktop application, a web application and a mobile (android-based) application, BioGenie outperforms all existing softwares engineered to assist heavy and complex computations. The GUI is very well-designed guiding the user technically with ease.
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  • 5
    BINViz(Bidirectional Interactive Network Visualization) is a JavaScript library for network and graph visualization. The goal of this tool is to provide a better way to visualize complex graphical models and the underlying data in a web-based environ
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  • 6
    OntoDas is a web-based tool that uses information visualisation techniques to provide an intuitive, interactive environment for constructing complex queries against the Gene Ontology Database.
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