Showing 42 open source projects for "network analysis"

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  • 1
    PhenoFam is a web-based application that performs gene set enrichment analysis (GSEA) by employing structural and functional information on families of protein domains as annotation terms.
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  • 2
    The system is designed for the automated analysis of high throughput sequencing data. At present Aped is focused on the analysis of data derived from Sanger and 454 sequencing. Additional functionality exists for SAGE and taxonomic profiling.
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  • 3
    Data and animal management software for large-scale phenotype screening Used by GNF for mouse ENU mutagenesis project. Data visualization & analysis, animal husbandry management, & automated QTL mapping. Usable as stand alone animal husbandry system.
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  • 4
    EZMWeb is an open source web-based bioinformation integration and search system. Users can search the integrated enzyme information.It implements the analysis of correlation between different enzymes,gives its visualized results through java applet.
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  • 5
    PepT-IDE is a protein analysis tool that is used for multiple sequence alignment, 3D visualization and displaying protein contact maps for protein sequences and structures. It also has feedback communication between the different views of the protein.
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  • 6
    Large set of functions for biological records (ECG, EEG, phono), datastore, datamining and analysis (HRV, QT, RR, ST). The application is written in Java, so that it is assumed to work on all devices. It runs as a desktop or client-server application. It
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  • 7
    The BioArray Software Environment (BASE) v1.2 is a comprehensive free web-based database solution for the massive amounts of data generated by microarray analysis. PrognoChip-BASE extends BASE v1.2.16, providing more functionalities.
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  • 8
    Trauma registry suite; Data collection application and server scripts to build trauma data warehouse and perform web-based analysis reporting. Cross-platform compatible for Windows, Apple, Unix, or Linux.
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  • 9
    Frida is image analysis software. Frida was developed by the Johns Hopkins University Tissue Microarray Core Facility. It is open source and written in 100% Java. Frida makes use of functionality from the NIH's ImageJ application. Note: Frida was integr
    Downloads: 0 This Week
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  • 10
    The Genomic Diversity and Phenotype Data Model (GDPDM) captures molecular and phenotypic diversity data. MySQL databases are used to implement the schema. This project develops software tools (written in Java, Perl, etc.) associated with this model.
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  • 11

    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.
    Downloads: 1 This Week
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  • 12
    Bioinformatics tools and applications for the analysis of genomic sequence data.
    Downloads: 0 This Week
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  • 13
    A neuroscientific knowledge management system for the published literature
    Downloads: 1 This Week
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  • 14
    GeNetDB, contraction of Genetic Network Database, is a bioinformatic platform destined to the study of genetic regulatory networks. It contains in one place the data and the way to study them, providing the user an access to all tools needed for his work
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  • 15
    XMAS supports a new kind of “sit forward” time series microarray analysis through visual interaction and interoperable operators. Domain knowledge is integrated directly into the system to aid users in their analysis.
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  • 16
    SAAT Semi-Automated Annotation Tools
    SAAT Semi-Automated Annotation Tools The Medical University Graz, in cooperation with the Fraunhofer Institute for Biomedical Engineering IBMT is developing the SAAT - Semi-Automated Annotation Tools in the CRIP context.
    Downloads: 0 This Week
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  • 17
    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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