Showing 14 open source projects for "bio toolkit"

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  • 1
    Open Drug Discovery Toolkit (ODDT)

    Open Drug Discovery Toolkit (ODDT)

    Modular and comprehensive toolkit for use in cheminformatics

    Open Drug Discovery Toolkit (ODDT) is modular and comprehensive toolkit for use in cheminformatics, molecular modeling etc. ODDT is written in Python, and makes extensive use of Numpy/Scipy. You can use any supported toolkit united under common API (for reference see Pybel or Cinfony). All methods and software based on Pybel/Cinfony should be drop-in compatible with ODDT toolkits. In contrast to its predecessors, which were aimed to have minimalistic API, ODDT introduces extended methods...
    Downloads: 0 This Week
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  • 2
    APBS

    APBS

    Biomolecular electrostatics software

    This software has moved to http://www.poissonboltzmann.org/.
    Downloads: 0 This Week
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  • 3
    TinkerCell is a software for synthetic biology. The visual interface allows users to design networks using various biological "parts". Models can include modules and multiple cells. Users can program new functions using C or Python. www.tinkercell.
    Downloads: 13 This Week
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  • 4

    openSEQ

    NGS compute distro proloaded with pipeline analysis software

    .... The first homepage tab links to our pipeline constructer. The second homepage tab links to a xterm session on the client. Software included (location - name): path - biobambam path - bwa path - bowtie2 path - bowtie path - cufflinks path - bcftools path - tophat path - scalpel path - samtools path - sra-toolkit path - bamtools path - delly path - delly-parallel path - picard-tools path - fastahack path - twoBitToFa ~/prog/java/ - mutect ~/prog/python/ - platypus ~/prog/java/ - gatk
    Downloads: 0 This Week
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  • 5
    SPADE

    SPADE

    A toolkit for developing and deploying protein structure algorithms.

    The Structural Proteomics Application Development Environment is a Python tool kit for developing and deploying bioinformatics applications. Handles graphics, analysis, and modeling of protein sequence and structure. Source and Win installers available. SPADE source code can be cloned from http://www.github.com/deaconjs/SPADE.
    Downloads: 0 This Week
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  • 6
    Syzygy is a toolkit for the analysis of targeted (pooled/individual) resequencing datasets.
    Downloads: 0 This Week
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  • 7
    Object oriented reusable software classes designed to be used to construct larger software projects developed in multiple software languages.
    Downloads: 0 This Week
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  • 8
    Volumetric file viewer for the human brain. Easy, powerful and flexible fMRI/MRI brain research and clinical neuro-surgery tool. Using state of the art open VTK 3D library, the proven Qt GUI toolkit, coded in Python.
    Downloads: 0 This Week
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  • 9
    SynBioLib -- your toolkit for synthetic biology applications. SynBioLib aims to establish a platform on which the Synthetic Biology community can develop and share code that is common to many tasks and programs.
    Downloads: 0 This Week
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  • 10
    This Project moved to https://sourceforge.net/projects/synbiowave/ because the name GeneWave is a registered trademark... Please do not use this project anymore.
    Downloads: 0 This Week
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  • 11
    pygr is a bioinformatics toolkit for sequence analysis and comparative genomics. pygr is highly scalable (e.g. one can easily query multi-genome alignments) and easy to use. Please see our new project page and wiki at http://code.google.com/p/pygr.
    Downloads: 0 This Week
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  • 12
    Tools for comparative sequence analysis. Includes FamilyRelations (GUI) and a C++ toolkit/Python wrapper for doing fixed-width-window analyses.
    Downloads: 0 This Week
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  • 13
    ĄHola!, for "Hordes of Little Atoms," is a project to develop a lean, modular, scalable toolkit for massive simulations of particle (molecular) dynamics. It is written in C and Python to get the best balance between programmer and run time.
    Downloads: 0 This Week
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  • 14
    ptsa (pronounced pizza) is a Python module for performing time series analysis. Although it is specifically designed with neural data in mind (EEG, MEG, fMRI, etc...), the code should be applicable to almost any type of time series.
    Downloads: 0 This Week
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