Showing 8 open source projects for "source"

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  • 1
    mzMatch is a Java collection of small commandline tools specific for metabolomics MS data analysis. The tools are built on top of the PeakML core library, providing mass spectrometry specific functionality and access to the PeakML file format.
    Downloads: 4 This Week
    Last Update:
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  • 2
    Mass-Up

    Mass-Up

    MALDI-TOF data analysis tool

    Mass-Up is an Open-Source mass spectrometry utility for proteomics designed to support the preprocessing and analysis of MALDI-TOF mass spectrometry data. Mass-Up includes several tools and operations to load, preprocess and analyze MALDI-TOF data.
    Downloads: 6 This Week
    Last Update:
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  • 3
    Maui

    Maui

    Maui is the Maltcms User Interface

    Maui is the Maltcms User Interface, a rich client application for Chromatography-Mass Spectrometry and related research areas.
    Downloads: 0 This Week
    Last Update:
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  • 4

    IQuant

    A pipeline for quantitative proteomics based upon isobaric tags

    ...This website contains the IQuant software, an example data labeled by iTRAQ-8plex for testing and a user's manual. If you have any question about IQuant, please contact me: wenbo@genomics.cn. The source code of IQuant can be found here "https://sourceforge.net/p/iquant/code/".
    Downloads: 0 This Week
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  • 5

    RMol : SD/Molfile information in R

    RMol: Transforming SD/Molfile structure information into R Objects

    RMol is an R script with a collection of functions to link information of SD/Molfile structure databases with powerful graph analysis packages in R.
    Downloads: 0 This Week
    Last Update:
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  • 6
    Structlab is a machine learning C++ framework for structured domains, which provides a toolbox of learning methods and tools for preprocessing and visualization. It also provides a GUI to setup elaborate experiments in a visual and intuitive way.
    Downloads: 0 This Week
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  • 7
    Tools to build molecular-docking activity prediction models by PLS regression with iterative training and pose-selection. Descriptors include (i) docking score(s), (ii) pharmacophore features, (iii) multi-feature descriptors learned by decision trees.
    Downloads: 0 This Week
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  • 8
    We use R (www.r-project.org) in order to generate a greater specificity and sensitivity of protein identification by Mass Spectrometry. These functions are implemented as add-on packages to the open source GPL software R.
    Downloads: 0 This Week
    Last Update:
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