Search Results for "wxwidgets"
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Showing 38 open source projects for "wxwidgets"
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PyRx - Virtual Screening Tool
Virtual Screening software for Computational Drug Discovery
PyRx is a Virtual Screening software for Computational Drug Discovery that can be used to screen libraries of compounds against potential drug targets. PyRx enables Medicinal Chemists to run Virtual Screening from any platform and helps users in every step of this process - from data preparation to job submission and analysis of the results. While it is true that there is no magic button in the drug discovery process, PyRx includes docking wizard with easy-to-use user interface which makes... -
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A software package that implements the probabilistic record linkage technique (PRL). This is a new, improved, open-source, multi-platform version of the previously available program, by the same authors.
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relax
Molecular dynamics by NMR data analysis
The software package 'relax' is designed for the study of molecular dynamics through the analysis of experimental NMR data. Organic molecules, proteins, RNA, DNA, sugars, and other biomolecules are all supported. It supports exponential curve fitting for the calculation of the R1 and R2 relaxation rates, calculation of the NOE, reduced spectral density mapping, the Lipari and Szabo model-free analysis, study of domain motions via the N-state model and frame order dynamics theories using... -
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BioXTAS RAW
Processing and analysis of Small Angle X-ray Scattering (SAXS) data.
BioXTAS RAW is a program for analysis of Small-Angle X-ray Scattering (SAXS) data. The software enables: creation of 1D scattering profiles from 2D detector images, standard data operations such as averaging and subtraction, analysis of radius of gyration (Rg) and molecular weight, and advanced analysis using GNOM and DAMMIF as well as electron density reconstructions using DENSS. It also allows easy processing of inline SEC-SAXS data and data deconvolution using the evolving factor analysis... -
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Croizat
A software package for quantitative analysis in Panbiogeography
Croizat is a free, user-friendly, cross-platform desktop software package which biologists can use to integrate and analyze spatial data on species or other taxa and to explore geographical patterns in diversity under a panbiogeographic and graph-theoretic approach. -
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ECOLOG
A database management system for ecological field surveys
ECOLOG is a specimen-based, cross-platform relational database management system, aimed at the storage, retrieval and preliminary analysis of data on sites, species, and specimens gathered in ecological field surveys and biodiversity inventories. The main goal of ECOLOG is to make the data gathered in ecological field surveys readily accessible, providing lists of species collected in the study area and informations on habitat preferences, abundance or rarity of a given species, biometrics,... -
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KimBlast
Blast+ the easy way
KimBlast GUI formats and indexes Fasta databases for Blast, performs Blast searches and analyzes results. Python 3.x version. For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/kimblast3/code/ci/default/tree/README.md -
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CBMPy
PySCeS Constraint Based Modelling
PySCeS CBMPy is a new platform for constraint based modelling and analysis. It has been designed using principles developed in the PySCeS simulation software project: usability, flexibility and accessibility. CBMPy supports the latest standards for encoding CBM models encoding, SBML L3 FBC, COBRA as well as MIRIAM compliant RDF and custom annotations. Its architecture is both extensible and flexible using data structures that are intuitive to the biologist while transparently... -
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FastaTools
Performs several operations to Fasta protein databases
FastaTools performs several operations to Fasta protein databases. For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/fastatools/code/ci/default/tree/README.md Or you can download the Documentation an Tutorial PDF file in the Files section: https://sourceforge.net/projects/fastatools.lp-csic-uab.p/files/FastaTools%20Documentation%20and%20Tutorials.pdf - Gallardo, Ó., Ovelleiro, D., Gay, M., Carrascal, M.,... -
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Open-source Python software library and GUI desktop environment for direct bioinformatic analysis of mass-spectrometry data through powerful scripting tools and interfaces to many machine data formats, database search engines, and peptide data formats. For a copy of the source code, check out our Github repositories: mzDesktop: https://github.com/MaxAlex/mzDesktop multiplierz: https://github.com/MaxAlex/multiplierz
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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. -
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SwisTrack 4 is a powerful software for tracking robots, humans, animals and objects using a camera or a recorded video as input source. It contains interfaces for USB, FireWire and GigE cameras, as well as AVI files.
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BioImageXD - free open source software for analysis, processing and 3D rendering of multi dimensional, multi data channel, time series image data from microscopy and other sources.
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IsoSearcher
Sistema de visualización de isosuperficies en imágenes médicas 3D
IsoSearcher es un sistema de generación y visualización de isosuperficies en imágenes médicas tridimensionales. Permite trabajar con campos escalares tridimensionales almacenados en archivos sin compresión y con imágenes médicas almacenadas en formado DICOM (Digital Imaging and Communication in Medicine) que es de uso generalizado, tanto por el equipamiento comercial como por la comunidad científica que los utiliza. Implementa algoritmos que permiten realizar mallas no-estructuradas, de... -
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DeDAY
MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.
DeDAY (Demography Data Analyses) is a tool of analyzing demography data. It supports Gompertz, Weibull and Logistic distributions. DeDay also supports mixed mortality models based on these distribution such as the Gompertz-Makeham distribution. Distributions such as Gompertz describes only age-dependent mortality, which increases over time. Mixed mortality models, such as in Gompertz-Makeham distribution, consider a more general case where mortality is consist of both age-dependent and... -
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Flow Investigation using N-Dimensions (FIND) is a program designed for analysis and visualization of Flow Cytometry data. FIND focuses specifically on automated population discovery (clustering) methods. The project targets both users and developers.
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This is a wxWidgets-based, cross-platform graphical frontend for the maximum-likelihood phylogenetic inference program RAxML created by Alexis Stamatakis (A. Stamatakis, Bioinformatics 22(21):2688-2690, 2006)
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Framework for the simulation of neuronal networks using biophysical detailed descriptions.
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...Segmentation with Levels sets. Surface reconstruction with marching Cubes, texture Mapping and Raycasting,DICOM support. Integration environment for VTK, ITK and vtkInria3D under wxWidgets
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A univariate and multivariate analysis UI. This project is no longer under development. Please use as you wish.
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Cell++
A novel stochastic simulation environment for biochemical modeling
UPDATE(2017-07-24) This repository has moved to BitBucket: https://bitbucket.org/parkinsonlab/cell-2017 Cell++ is a novel stochastic simulation environment which is capable of modeling diverse biochemical phenomena including signal transduction pathways, metabolic pathways and intracellular calcium signaling. -
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LeafAnalyser has been developed as a fast throughput leaf shape analysis application. It contains features such as automated image processing, data analysis and interactive 2D/3D graphs.
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RF++ is a Random Forest-based classifier. It can classify cluster-correlated non-independent data in a statistically valid fashion. RF++ also identifies important variables (biomarkers) in datasets with large numbers of variables and few subjects.
