App

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Applications

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MetaPIGA[1] is a robust implementation of several stochastic heuristics for large phylogeny inference (under maximum likelihood), including a simulated annealing algorithm, a classical genetic algorithm, and the metapopulation genetic algorithm (metaGA) together with complex substitution models, discrete Gamma rate heterogeneity, and the possibility to partition data. MetaPIGA also implements the Likelihood Ratio Test, the Akaike Information Criterion, and the Bayesian Information Criterion for automated selection of substitution models that best fit the data. Heuristics and substitution models are highly customizable through manual batch files and command line processing.


Gift, or Gnu Image Finding Tool, software is a content-based image indexing and retrieval package. GIFT utilizes techniques common from textual information retrieval and uses a very large collection of binary-valued features (global and local colour and texture features). GIFT extract these features and stores them in an inverted file. These images are currently being used in medicine (diagnostic aid in hospitals) and art (classifying drawings).
The Neurad project involves medical physicists and computer scientists whose goal is to enhance the treatment planning of cancerous tumors by external radiotherapy. The Neurad software provides a fast and accurate evaluation of radiation doses in any given environment (possibly inhomogeneous) for given irradiation parameters.
The NeuroWeb application proposes to build neuronal maps of brain activities with non-invasive measurements. The goal is to localize brain areas (group of neurons) responsible of a given dysfunction (epileptic crisis, Parkinson, Alzheimer, etc). Once these regions are localized, they can be removed by surgery.
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