Showing 17 open source projects for "linux programming"

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  • 1

    GOBU

    Gene Browsing Utility

    Gene Ontology Browsing Utility (hereinafter, GOBU, pronounced as "go-boo") is a browsing and manipulating tool for Post-Pipeline genetic data, especially useful for data with GO annotations. With help of GOBU, we expect biologists and their cooperating technicians can pay less effort on common programming stuff. At the same time, GOBU provides an Extendable Architecture which guarantees the possibility of 1. Arbitrary Data Description, 2. Data Integration, and 3. Extendable User Interface.
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  • 2

    MarDRe

    MapReduce-based tool to remove duplicate DNA reads

    MarDRe is a de novo MapReduce-based parallel tool to remove duplicate and near-duplicate DNA reads through the clustering of single-end and paired-end sequences from FASTQ/FASTA datasets. This tool allows bioinformatics to avoid the analysis of not necessary reads, reducing the time of subsequent procedures with the dataset. MarDRe is the Big Data counterpart of ParDRe (link above), which employs HPC technologies (i.e., hybrid MPI/multithreading) to reduce runtime on multicore systems....
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  • 3
    Jenetics: Java Genetic Algorithm Library
    The source code has been migrated and is now hosted on Github: https://github.com/jenetics/jenetics Jenetics is an advanced Genetic Algorithm, Evolutionary Algorithm and Genetic Programming library, respectively, written in modern day Java. It is designed with a clear separation of the several algorithm concepts, e. g. Gene, Chromosome, Genotype, Phenotype, Population and fitness Function. Jenetics allows you to minimize or maximize the given fitness function without tweaking it. In...
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  • 4

    WrapImaJ

    Multi-platform API for Image Processing systems in Life Sciences

    WrapImaJ purposes to be a multi-platform wrapper for different Image Processing systems for: - using the Java programming language. The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies. In it's current form, it...
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  • 5
    JBioFramework

    JBioFramework

    Growing suite of proteomics simulations for educational purposes

    JBioFramework (JBF) is a set of two different chemical separations simulations (2D Electrophoresis and Mass Spectrometry) that are frequently used in chemistry, biochemistry and proteomics research. It is written in the Java programming language and will run on any and all systems that have the JVM installed. As we continue to develop the software over the coming months/years and attempt to quantify the success of our efforts with testing and reviews, user input is very important. Please...
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  • 6
    KAnalyze

    KAnalyze

    DNA/RNA Sequence K-mer Toolkit

    KAnalyze is a Java toolkit designed to convert DNA and RNA sequences into k-mers. It is both a command line application and an API.
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  • 7

    owl reasoning over big biomedical data

    A OWL reasoning framework for the analysis of big biomedical data

    A general OWL reasoning framework for the analysis of big biomedical data and implement a MapReduce-based property chain reasoning prototype system. OWL reasoning method is ideally suitable for problems involved complex semantic associations because it is able to infer logical consequences based on a set of asserted rules or axioms. MapReduce framework isused to solve the problem of scalability. In our experiment, we focus on the discovery of associations between Traditional Chinese Medicine...
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  • 8
    JGAP is a Genetic Algorithms and Genetic Programming package written in Java. It is designed to require minimum effort to use, but is also designed to be highly modular. JGAP features grid functionality and a lot of examples. Many unit tests included. Legal notice/Impressum: Klaus Meffert An der Struth 25 D-65510 Idstein sourceforge <at> klausmeffert.de
    Downloads: 15 This Week
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  • 9
    Java API for implementing any kind of Genetic Algorithm and Genetic Programming applications quickly and easily. Contains a wide range of ready-to-use GA and GP algorithms and operators to be plugged-in or extended. Includes Tutorials and Examples.
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  • 10
    The Systems Biology Research Tool (SBRT) is both an application and an application programming interface (API) intended to facilitate the computational aspects of systems biology.
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  • 11
    The JefNET (Java Evolutionary Framework Network) Proj. consists of three subprojects: JEF, Dna, JXTAJef. Our intent is to provide a distributed genetic programming framework for the Java language, and a network in which classes can spontaneously evolve.
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  • 12
    JAligner is an open source Java implementation of the dynamic programming algorithm Smith-Waterman with Gotoh's improvement for biological local pairwise sequence alignment with the affine gap penalty model.
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  • 13
    OntoCardio is an initiative to build ontologies for the legacy Cardio Database (Resource of bioinformation on cardiovascular diseases). SMI's Protege and its OWL plug-in has been adopted as the ontology construction and programming framework.
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  • 14
    Anthill is a framework to support the design, implementation and evaluation of P2P applications based on ideas such as multi-agent and evolutionary programming borrowed from the complex adaptive systems area.
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  • 15
    NeoBio is a Java class library of Computational Biology Algorithms. The current version consists mainly of pairwise sequence alignment algorithms such as the classical dynamic programming methods of Needleman-Wunsch and Smith-Waterman.
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  • 16
    Jeep is a modular, abstract and distributed evolutionnary programming core written in Java, allowing to grow autonomous agents as well a gene pool (as in genetic algorithms).
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  • 17
    jrgp is a strong-typed Genetic Programming system, which features a graphical interface (gool) to setup and run GP-problems and a tool (fs-d) that greatly simplifies the definition of a GP-problem.
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