Showing 15 open source projects for "java lightweight ide"

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  • 1
    miRDeep*

    miRDeep*

    MiRDeep*

    Please cite: An, J., Lai, J., Lehman, M.L. and Nelson, C.C. (2013) miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data. Nucleic Acids Res, 41, 727-737. We will create index for you if you tell us your interested species (j.an@qut.edu.au). download command line version "MDS_command_line_Vxx.zip" clicking "Browse All Files" please find miRPlant in sourceforge for plant miRNA prediction.
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  • 2

    mirplant

    miRPlant: An Integrated Tool for Identification of Plant miRNA

    please cite: An J, Lai J, Sajjanhar A, Lehman ML, Nelson CC: miRPlant: an integrated tool for identification of plant miRNA from RNA sequencing data. BMC bioinformatics 2014, 15(1):275. We will create index for you if you tell us your interested plants (j.an@qut.edu.au).
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  • 3

    JMGF

    Java implementation for the Mascot Generic File Format (MGF).

    JMGF is a lightweight framework for handling MGF files. It supports reading, writing and parsing of MGF files. Files may be read/ written at once, or stream-based (memory efficient). It's stable, very intuitive and good integrated with Java 1.5 SDK and later.
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  • 4

    JFASTA

    Java implementation for the FASTA file format.

    JFASTA is a lightweight framework for handling FASTA files. It supports reading, writing and parsing of single- or multi-FASTA files. Files may be read/ written at once, or stream-based (memory efficient). It's stable, very intuitive and good integrated with Java 1.5 SDK and later.
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  • 5

    BioUtils - Proteomics

    Lightweight framework for handling biological and bioinformatical data

    The BioUtils - Proteomics package is a lightweight Java framework for handling commonly used data produced and needed in the field of Mass spectrometry in general and especially in the field of Proteomics. It's stable, intuitive to use and good integrated with Java 6 SDK and later.
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  • 6

    GeneticAlgorithms

    Framework for using the Genetic Algorithms optimization heuristic.

    GeneticAlgorithms is a simple and lightweight framework to implement an optimization heuristic following the Genetic Algorithms model. A genetic algorithm mimics the natural processes of evolution, selection and "survival of the fittest". This framework is intuitive and good integrated with Java 1.5 SDK and later.
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  • 7
    A lightweight and scalable genome browser
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  • 8

    mobycore

    The lightweight java library that implements BioMOBY protocol

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  • 9
    CellML-IDE
    An IDE for CellML 1.1 user models developed in UNSW as an open source project. Author: Mitchell Lanesbury 2012
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  • 10
    SemaRule Navigator
    SemaRule Navigator is an Integrated Suite of Open-Source and Free-License Software, placing Semantic and Text Analysis Technologies in the toolbox of Researchers, Students, and Enterprises.
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  • 11
    Anna is lightweight Java framework to build pipeline systems of any kind. It will take care of recurrent needs such as dependency management, data serialisation and synchronization as well as parallelization of execution.
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  • 12
    The MML Framework is a temporal-spatial biological model representation language. The MML Project provides the application tool set which facilitates the goals of representing biological models using the MML specifications.
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  • 13
    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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  • 14
    The Biomolecule Naming Service (BNS) is loosely inspired by DNS servers used to resolve host names and IP addresses. BNS uses the Lightweight Directory Access Protocol (LDAP) to resolve gene/protein names and identifiers.
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  • 15
    Before year 2045, we want to create a "software development lab" that will allow to write "from scratch" the DNA of a creature, the "content" of it's first cell, and the components of the solution in which it will grow, to simulate it's life.
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