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Search Results for "university management system"

Showing 11 open source projects for "university management system"

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  • 1
    csapAIH

    csapAIH

    Classificar Condições Sensíveis à Atenção Primária

    Pacote em R: Classifica códigos da CID-10 segundo a Lista Brasileira de Internações por Condições Sensíveis à Atenção Primária e oferece funcionalidades para o manejo dos arquivos reduzidos da AIH. R package: Classify ICD-10 codes according to the Brazilian List of hospitalizations for Ambulatory Care Sensitive Conditions, and afford functionalities to the work with the Brazilian Hospital Information System databases (BD-SIH/SUS).
    Downloads: 5 This Week
    Last Update:
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  • 2
    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.
    Downloads: 0 This Week
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  • 3

    Waterloo

    Java-based scientific graphics

    Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab.
    Downloads: 0 This Week
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  • 4
    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: 0 This Week
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  • 5
    Shoal

    Shoal

    A lot of fish in a shoal, in a gigantic scientific ocean.

    Ours organization website GCModeller.org is coming online soon! Shoal Shell is the sub project for the "genome-in-code"(http://code.google.com/p/genome-in-code/) virtual cell modelling project of the bacteria Xcc 8004. Shoal Shell aim at provide the modelling tool and the debugging tool for the GCModeller virtual cell modelling, And from the extendible library package, shoal shell can manage to accomplish the entire modelling job for any other bacteria species. Shoal Shell Project...
    Downloads: 0 This Week
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  • 6
    EnvStats

    EnvStats

    An R Package for Environmental Statistics

    EnvStats is an R package for environmental statistics. It is the open-source successor to the commercial module for S-Plus© called "EnvironmentalStats for S-Plus", which was first released in April, 1997. The EnvStats package, along with the R software environment, provides comprehensive and powerful software for environmental data analysis. EnvStats brings the major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package,...
    Downloads: 0 This Week
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  • 7
    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.
    Downloads: 0 This Week
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  • 8
    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.
    Downloads: 0 This Week
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  • 9
    BigBang/Horizon is a proteomics data analysis pipeline with focus on the shotgun LC/MSMS workflow.
    Downloads: 0 This Week
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  • Fax.Cloud delivers encrypted, point-to-point faxing with guaranteed delivery and built-in audit trails Icon
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  • 10
    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...
    Downloads: 0 This Week
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  • 11
    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.
    Downloads: 0 This Week
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