Open Source Python Bio-Informatics Software for Linux

Python Bio-Informatics Software for Linux

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Browse free open source Python Bio-Informatics Software for Linux and projects below. Use the toggles on the left to filter open source Python Bio-Informatics Software for Linux by OS, license, language, programming language, and project status.

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  • 1
    Common Interface for NMR structure Generation.
    Downloads: 0 This Week
    Last Update:
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  • 2

    Pysimony

    A Pythonic Implementation of Parsimony Inference of Phylogeny

    UPDATE: After some bug fixes, I've ditched Pysimony for Javamony: https://sourceforge.net/projects/javamony/ Given Python's beauty, I know that someday I will have to finish Pysimony. A student's first attempt at a phylogenetic inference program, written in the simplistic yet elegant Python. Pysimony reads a FASTA file (only ATGC accepted) specified as its only argument. Basic testing has shown that it is slow, inaccurate and most definitely inefficient. An unlikely-to-be-the-most-parsimonious tree is printed upon completion in basic Newick tree format. As all parts of the program are the original work of a beginner programmer, this may represent one of the worst approaches to solving the phylogenetic problem. I have clearly avoided object-oriented programming. Nevertheless, I distribute this imagining it might someday be slightly educational or at least provide a laugh at the pathetic attempt it makes to reinvent the wheel
    Downloads: 0 This Week
    Last Update:
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  • 3
    Zherlock has now changed name to SciCraft and no longer hosted on sourceforge. Visit our new site at http://www.scicraft.org
    Downloads: 0 This Week
    Last Update:
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  • 4
    defunct
    Downloads: 0 This Week
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  • 5
    defunct
    Downloads: 0 This Week
    Last Update:
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  • 6
    nmr-nessy

    nmr-nessy

    NMR relaxation dispersion spectroscopy analysis software

    NESSY is an open source software to analyse NMR relaxation dispersion data of either CPMG or R1p (R1rho) dispersion experiments. The graphical interface enables simple management of large experimental data sets and simple and automated analysis. NESSY automatically calculates effective transverse relaxation rate (R2eff) and performs model selection between different relaxation dispersion models.
    Downloads: 0 This Week
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