Aeskulap is a medical image viewer. It is able to load a series of special images stored in the DICOM format for review. It is able to query and fetch DICOM images from archive nodes (also called PACS) over the network. The goal of this project is to create a full open source replacement for commercially available DICOM viewers. It is based on gtkmm, glademm, and gconfmm and designed to run under Linux. Ports of these packages are available for different platforms. It should be quite easy to port It to any platform were these packages are available.
Asymptopia Flashcard System uses Motif and LaTeX to produce, manage, and use attractively formatted flashcards. You load some or all of your "collections" and set the timer for pop-up frequency. The GUI interface and "Collection Manager" make creating and modifying flashcards as simple as pushing a single button. A knowledge of LaTeX is only required when entering special symbols.
BALLView is an extensible viewer for bio-molecular structures. It provides all standard models and offers rich functionality for molecular modeling and simulation, including molecular mechanics methods (AMBER, CHARMM, and MMFF94 force fields), continuum electrostatics methods employing a Finite-Difference Poisson Boltzmann solver, secondary structure calculation, molecular editing and docking. Since BALLView is based on BALL (the Biochemical ALgorithms Library), it is easily extensible on the level of C++ code. In addition, it provides a Python interface with Integrated Development Environment features to allow interactive rapid prototyping.
BioCoRE is a collaborative work environment for biomedical research, research management, and training. It features easy-to-use tools, among them co-authoring papers and other documents, running applications on supercomputers, sharing molecular visualization over the Internet, notifying project team members of recent project changes by email, chatting, keeping a lab book, and other practical features.
Bioconductor is a set of packages for R (a GPLd statistical data analysis language) which focus on bioinformatics data analysis, especially gene expression arrays (Affymetrix, cDNA spotted arrays). There are tools for statistical normalization, differential expression, genomic visualization, and biological annotation. Future work includes implementation and development of better statistical methods, distributed computing, visualization, and extensions to related high-throughput laboratory assays. The primary developers are research statisticians.