The aim of ADF MAGE-ML Tool is to provide a module for converting ADF files (a tab delimited file representing microarray design layout) into MAGE-ML format, and for generating an ADF from an array design described in MAGE-ML format. The module is build upon the ADF specifications and using MAGE-Stk APIs (Java). MIAME-compliance checking, a logging system, and integration of LifeScience Identifier (LSID) specifications are key components of the module. The module can be used via the command line or a graphical user interface.
Aseba is an event-based architecture for distributed control of mobile robots. It targets integrated multi-processor robots or groups of single-processor units, real or simulated. The core of aseba is a lightweight virtual machine tiny enough to run even on microcontrollers. Robots are programmed in a user-friendly scripting language using a cozy integrated development environment.
BEAM is a toolbox and development platform for viewing, analysing, and processing of remote sensing raster data. Originally developed to facilitate the utilisation of image data from Envisat's optical instruments, BEAM now supports a growing number of other raster data formats such as GeoTIFF and NetCDF as well as data formats of other EO sensors such as MODIS, AVHRR, AVNIR, PRISM and CHRIS/Proba. Various data and algorithms are supported by dedicated extension plug-ins. It includes VISAT, an intuitive desktop application, a set of scientific tools running either from the command line or invoked by VISAT, and a rich Java API for the development of new remote sensing applications and BEAM extension plug-ins.
BigAl is a platform independent program for calculating really big numbers. It supports not only standard arithmetic, but also calculations with numbers stored in files, exact period determination, continued calculation with predefined factorials, fibonacci with customized seeds, lucas, factorization, ackermann, nth root, random number generation, and more.