Showing 12 open source projects for "java sources"

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  • 1
    VANESA
    This project moved to GitHub in 2021 and is available at: https://cbrinkrolf.github.io/VANESA/ This tool is a platform-independent software to create individual pathways and to examine biological networks of distributed, heterogeneous data sources, e.g. KEGG, BRENDA. VANESA also offers Petri net modeling of extended hybrid Petri nets which can be also simulated using the OpenModelica framework.
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  • 2
    XMLPipeDB is a suite of tools for building relational databases from XML sources with minimal manual processing of the data. While the applicability is general, our motivation was to facilitate the management of biological data from different sources.
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  • 3
    Taxy is a tool for browsing and quering data organized as a taxonomy. Through the use of plugins it allows to connect to different data sources, such as the NCBI species taxonomy or the catalogue of biomedical services of the EU project ACGT.
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  • 4

    iMir

    Integrated pipeline for HT miRNA-Seq data analysis

    Processing of smallRNA-Seq data to gather biologically relevant information requires application of multiple statistical and bioinformatics tools from different sources, each focusing on a specific step of the analysis pipeline. The analytical workflow can be challenging for the continuous interventions by the operator, a critical factor when large numbers of datasets need to be analyzed at once. To allow a flexible and comprehensive analysis of smallRNA-Seq data we designed a novel modular...
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  • 5
    xAffect

    xAffect

    Sensor Middleware

    xAffect is a software framework for online recording, processing and storage of multi sensor data. It was developed at FZI Research Center for Information Technology, Karlsruhe, Germany. xAffect can be used as a flexible, customizable middleware between physiological sensors and applications which require online feature computation (e.g. biofeedback or affective computing). Moreover, it can also be used as a standalone application for data acquisition and visualization.
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  • 6
    The goal of this project is to combine different sources of information as well as methods to help in the process of gap closing / genome finishing in high throughput sequencing.
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  • 7
    GEPETTO - Gene Prioritization in Java

    GEPETTO - Gene Prioritization in Java

    GEPETTO (GEne Prioritization ExTended TOol)

    ...It currently incorporates six prioritization modules, based on gene sequence, protein-protein interactions, gene expression, disease-causing probabilities, genomic context). GEPETTO is written in Java/Python and supported by an advanced modular architecture, which means that it can easily be modified and extended by the user, in order to include alternative scoring methods and new data sources. We intend to extend the system from gene-level to variant-level prioritization, by exploiting the variant data in the MSV3D database. ...
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  • 8
    A comparative map and trait visualization framework enabling visual integration of genomic data from disparate data sources and allowing rich client-side interactivity and manipulation. Extensible through plugins for new datasources and algorithms.
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  • 9
    A Java application used in whole genome analysis to display SNPs in a genomic context. Supplementary data is downloaded from various public data sources on the fly and saved locally in a cache. Custom data can be added as supplementary tracks.
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  • 10
    ArrayPlex integrates various forms of microarray data from diverse annotation and primary data sources. It provides a programmatic framework (API set) for collaborative development and deploys as easy to maintain client-server architecture.
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  • 11
    The goal of the GeneText project is the development of a software package that will enable users to dynamically generate an information summary page from multiple sources given a search term. Fields of interest are biology, genetics and bioinformatics.
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  • 12
    This tool integrates and enhances publicly available genome data from different sources into a local database. Using a web browser, scientists may view and query the data, keep persistent notes, and schedule batch services (such as BLAST) from NIH.
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