Showing 946 open source projects for "gnu science"

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  • 1
    Code repository for the Laboratory for Genome Bioinformatics at Texas A&M. The LGB project was initiated primarily to support biologists at Texas A&M needing help with bioinformatics in order to use new genomic technologies.
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  • 2

    hemcuveGUI

    hemcuveGUI is a graphical interface for HEMCUVE++

    hemcuveGUI is a graphical interface for HEMCUVE++ (see http://tsc.unex.es/~llandesa/page17/page17.html). More specifically, hemcuveGUI lets you · to collect all the data required by HEMCUVE++, · to manage a materials database, · to call the external executable HEMCUVE++ and · to visualize its results.
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  • 3
    Software package for stochastic and hybrid simulation of microtubule dynamics and the effects of anti-mitotic drugs and microtubule regulatory proteins.
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  • 4
    SuperG is a code library written in Python intended to quickly enable programmers in a scientific environment to manage data files created by dispersed scientific instrumentation.
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  • 5
    SpikeyTree infers divergence times between populations that share a common history described by a tree. SpikeyTree assumes that the populations have been evolving under isolation, according to the Wright-Fisher with pure drift. SpikeyTree can use the Beta or the Beta with Spikes approximation to the allele frequency distribution under the Wright-Fisher. More details can be found in Tataru et al. Inference under a Wright-Fisher model using an accurate beta approximation If using...
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  • 6
    PySDB is simple to use field data manager for structural geologists written in Python. Data are traditionally organized by sites and rock units, classified by structural types and could be freely tagged by user-defined labels.
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  • 7
    VectTens

    VectTens

    A library for handling vectors, tensors, and more.

    VectTens is an object-oriented numerical library designed to manipulate vectors, tensors, and other mathematical quantities in a simple and efficient manner.
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  • 8

    pymzML

    Python module to interface mzML data in Python

    Python module to interface mzML data in Python based on cElementTree with additional tools for MS-informatics. CITATION Please cite us when using pymzML for your publications. Bald, T., Barth, J., Niehues, A., Specht, M., Hippler, M., & Fufezan, C. (2012). pymzML - Python module for high throughput bioinformatics on mass spectrometry data. Bioinformatics, 1-2. doi: 10.1093/bioinformatics/bts066
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  • 9
    This project seeks to integrate knowledge, methods and data from various disciplines through the design and implementation of a system that allows for communications between languages and different platforms.
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  • 10
    This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
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  • 11
    openSim is a software platform for the creation, simulation and visualization of system dynamics models.
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  • 12
    RGnome is a gtk based frontend for GNU R, which is a widely used language for statistical computing. It features a fully working R console and an editor with syntax highlighting.
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  • 13
    Python program devoted to study the relationship between cells during inmune response. It is based on a 3D periodic boundary conditions grid where cells see each other and react according to certain movement, growth and interaction rules.
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  • 14
    Simulador de trânsito. Objetivos: - Criar um modelo de trânsito, abrangendo espaço urbano, automóveis e motoristas; - Permitir pesquisa a respeito de otimização do trânsito. Escrito em Delphi (ou não).
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  • 15
    Cellicone is a project to develop an artificial life organism with the necessary components to make it comparable to biological life as we know it. This includes components ranging from proteins to cells to organs to limbs, and many steps between.
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  • 16
    This is a collection of different little tools written in MATLAB, JAVA, Python. They all have to to do with Imaging & Microscopy for life science research and related topics or problems. Some of them are meant to be used with ImageJ and MicroManager.
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  • 17
    a distributed engine for abstract neural network development via natural-language programming
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  • 18
    trimAl can consider several parameters, alone or in multiple combinations, in order to select the most-reliable positions in the alignment. These include the proportion of sequences with a gap, the level of residue similarity and, if several alignments for the same set of sequences are provided, the consistency level of columns among alignments. Moreover, trimAl allows to manually select a set of columns and sequences to be removed from the alignment. trimAl implements a series of...
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  • 19
    ExoPlanet

    ExoPlanet

    GUI based toolkit for running common Machine Learning algorithms.

    ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve,...
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  • 20
    devsimpy

    devsimpy

    Python-based GUI for discrete-event system modeling and simulation

    DEVSimPy is an advanced wxPython GUI for the modeling and simulation of systems based on the DEVS (Discrete EVent system Specification) formalism. Features include powerful built-in editor, advanced modeling approach, powerful discrete event simulation algorithm, import/export DEVS components library and more.
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  • 21

    geoscipy

    Python-accessible toolkit for Geoscience & Remote Sensing Applications

    GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and...
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