Showing 10 open source projects for "documentation"

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  • 1
    dataMAPPs

    dataMAPPs

    R based pipeline for MHC-associated peptide proteomics (MAPPs) data

    ...dataMAPPs' core is a generic R library that can be tailored to specific projects via dedicated control scripts which also allow reproducible recalculation of results. Consult README file for installation and usage instructions. Further documentation is supplied in PDF format. dataMAPPs is published under GPL license by a team of scientists working for Hoffmann-La Roche AG in Basel, Switzerland. The software is provided as is, to hopefully benefit other researchers. Related Publication in the Journal of Proteome Research: DOI: 10.1021/acs.jproteome.0c00309
    Downloads: 0 This Week
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  • 2
    MVSE

    MVSE

    Estimator of climate-driven, mosquito-borne viral suitability index

    ...By accounting for local climatic variables, as well as viral, vector and human priors, suitability can be estimated for specific regions, hosts, vectors and viral species. MVSE v0.3 and v1.01r are available for download in this repo. UPDATE Oct/2021: note that a correction has been made to the documentation of v1.01r. The most recent version is the file "MVSE_v1.01r_corrections_to_documentation.zip". No changes have been made to the code itself. Article for original v0.3: https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.132
    Downloads: 3 This Week
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  • 3

    OpenM++

    OpenM++: open source microsimulation platform

    IMPORTANT: ========== Our project home page: https://openmpp.org Our latest source code and release available at: https://github.com/openmpp/main/releases/latest Our documentation available at: https://github.com/openmpp/openmpp.github.io/wiki SourceForge files still exist for historical reason. OpenM++ is an open source microsimulation platform inspired by and compatible with Modgen. OpenM++, compared to its closed source predecessor Modgen, has advantages like portability, scalability and open source. ...
    Downloads: 0 This Week
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  • 4

    NGSbinningpytools

    Python tools for binning NGS scaffolds to various genomes.

    ...However, a critical problem is to determine the host organism for each genomic fragment present in the dataset. This project provides the computational tools for assigning the organismal identity for each genomic scaffold in the given dataset. For more detailed documentation please refer to the link below: https://sourceforge.net/p/ngsscaffolds/wiki/Documentation/
    Downloads: 0 This Week
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  • 5
    A simple tool to help you create an R interface for your Java project. Simply annotate the constructors and methods you want to make available and JAnnotateR will produce a working package, complete with documentation generated from javadocs.
    Downloads: 0 This Week
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  • 6
    MGARCH is a software library for R-Project to simulate and estimate various MGARCH processes. This project also provides convenience tools for preparing data, summarizing and visualizing results, prediction and documentation.
    Downloads: 0 This Week
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  • 7
    Quick reference for switching between mathematical computation environments for computer algebra, numeric processing and data visualisation. Examples are Matlab, IDL, SPlus, and their open-source counterparts Octave, Scilab, Python+NumPy and R.
    Downloads: 0 This Week
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  • 8

    InPUT

    IoC container for the configuration and design for experimental design

    InPUT offers a descriptive and programming language independent format and IoC (Inversion of Control) container for the configuration and design of computer experiments. Code and more info can be found on github: http://github.com/feldob/InPUT
    Downloads: 0 This Week
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  • 9
    An R package for use with Sweave that allows for the speedy compilation of high quality graphics by using TeX package pgf and the utility eps2pgf. For recent builds please see http://rforge.net/pgfSweave/.
    Downloads: 0 This Week
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  • 10
    For software developers in domains involving statistical analysis, the "R + Java = Inf" project analyses and enhances the interoperability between the R and Java programming languages. The deliverables are source code, documentation and benchmarks.
    Downloads: 0 This Week
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