Search Results for "java web application project"
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Showing 8 open source projects for "java web application project"
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GMOD is a set of interoperable open source software components for visualizing, annotating, and managing biological data. See http://gmod.org for more.
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GenoCAD is a CAD software for synthetic biology. This application provides a web-based tool to design plasmids, artificial gene networks, and other synthetic genetic systems composed of standard genetic parts. It includes a parts management system, a rule-based design tool, and a simulation engine. This project has morphed into a SaaS model. The open source code is no longer maintained.
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GIIAF Microscopy Library
The GIIAF Microscopy Library, that uses customised OMERO software
This project incorporates a suite of tools that aim to allow researchers within Griffith's Imaging and Image Analysis Facility (GIIAF) to efficiently and effectively provide secure, centralised, web-accessible data storage, management and manipulation. The open-source Java-based OMERO software was customised to provide most of the features of this project. -
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HeliconiusDB is a project to develop a database schema and web-based software tools for the study of Heliconius butterflies (and other organisms) in evolutionary biology.
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EDGE3 is an open-source, web-based application allowing for the management, storage, analysis, and controlled sharing of transcription-based microarray data generated on the Agilent DNA platform.
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The NCD Toolkit is a PHP application to collaboratively manage biological collection metadata that corresponds to the TDWG TDWG Natural Collection Description (NCD v0.8) format. The project was initially funded by GBIF.
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Trauma registry suite; Data collection application and server scripts to build trauma data warehouse and perform web-based analysis reporting. Cross-platform compatible for Windows, Apple, Unix, or Linux.
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Annotated Gel Markup Language is a simple markup language that is being proposed to markup data obtained by 2D gel electrophorosis.The goal of AGML is to enable proteomics research move into the browsing mode of searching through existing databases.
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