Search Results for "data capture framework"
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Showing 10 open source projects for "data capture framework"
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Avogadro
An intuitive molecular editor and visualization tool
Avogadro is an advanced molecular editor designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science and related areas. It offers a flexible rendering framework and a powerful plugin architecture. -
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Olex2 is visualisation software for small-molecule crystallography developed at Durham University/EPSRC. It provides comprehensive tools for crystallographic model manipulation for the end user and an extensible development framework for programmers. The project has been supported by Olexsys Ltd since 2010.
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ElemenTable - Periodic Table
Simple colored and interactive Periodic Table of Elements
...The data of the chemical elements is hosted at https://github.com/bluegrams/Periodica.Data. Also have a look at the new periodic table app for Windows 10 with many more features at https://www.microsoft.com/store/apps/9PB2TD7P6DT3. -
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MZmine 2
A framework for differential analysis of mass spectrometry data
MZmine 2 is a framework written in Java for differential analysis of mass spectrometry data. -
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Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
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ArrayPlex integrates various forms of microarray data from diverse annotation and primary data sources. It provides a programmatic framework (API set) for collaborative development and deploys as easy to maintain client-server architecture.
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Use SASSIE to generate and manipulate large numbers of molecular structures and then calculate the SAXS, SANS, and neutron reflectivity profiles from atomistic structures. Use for intrinsically disordered proteins. We need alpha-testers and developers.
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4-Dimensional Cell Simulator (4DiCeS) is a framework on hybrid (stochastic and deterministic) modeling and simulation of (whole) cell environments in 4D. The framework may incorporate any reaction and diffusion algorithms applicable in a 4D grid layout.
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LSG is a Windows application framework designed for visual data integration and based on Microsoft .NET 2.0 and CAB. An admin utility manages LSG apps, modules, events, and services, and a client integrates the modules and provides functionality hooks.
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Our goal is to create an open source framework and toolset for modeling dynamic cellular network functions, and to develop a user community committed to using, extending and exploiting these tools to further our knowledge of biologic processes.
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