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  • 1
    BioXTAS RAW

    BioXTAS RAW

    Processing and analysis of Small Angle X-ray Scattering (SAXS) data.

    ...It also allows easy processing of inline SEC-SAXS data and data deconvolution using the evolving factor analysis (EFA) or the regularized alternating least squares (REGALS) methods. Active source code is now maintained on github: https://github.com/jbhopkins/bioxtasraw To install: Check the instructions available at: http://bioxtas-raw.readthedocs.io/en/latest/install.html and in the Files tab. User guides: RAW guides are available at: http://bioxtas-raw.readthedocs.io/ and in the Files tab. To contact us, see: https://bioxtas-raw.readthedocs.io/en/latest/help.html
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    Downloads: 99 This Week
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  • 2
    multiplierz
    Open-source Python software library and GUI desktop environment for direct bioinformatic analysis of mass-spectrometry data through powerful scripting tools and interfaces to many machine data formats, database search engines, and peptide data formats. For a copy of the source code, check out our Github repositories: mzDesktop: https://github.com/MaxAlex/mzDesktop multiplierz: https://github.com/MaxAlex/multiplierz
    Downloads: 0 This Week
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  • 3
    STochastic Engine for Pathway Simulation
    Stochastic simulator for signaling pathways occuring in biological cells. Handles reaction-diffusion processes in 3D tetrahedral meshes. Please check our new repository: https://github.com/CNS-OIST/STEPS
    Downloads: 4 This Week
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  • 4
    MDDriver
    [OBSOLETE, check Github repository: https://github.com/LBT-CNRS/MDDriver) MDDriver is a library allowing a user to easily couple molecular visualisation tools with simulation code through a network. It allows to carry out interactive molecular dynamics, visualize simulation results and drive a simulation in interactive time.
    Downloads: 0 This Week
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  • 5
    RawGeno Version 2.0-1 is released! RawGeno is an R CRAN library automating the scoring of AFLP electropherograms. The library includes a graphical user interface to simplify its use. Note that the 2.0-1 version is delivered as a source (*.tar.gz for Linux and Mac users) and as a binary file (*.zip, for Windows users). The installation procedure differs slightly according to your system; but this should remain simple. Have a look at the readme file when you download your new copy...
    Downloads: 0 This Week
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