Search Results for "computer based training"

Filtering out the prominent portion through the excessive amount of information produced by next generation techniques is a challenging task. Current tools enable to analyze next generation sequencing data in various methods. However, there is still need for fast, easy to use and efficacious tools. We provide an efficient filtering tool for next generation sequencing data produced by genetic disease studies. FMFilter allows to choose one of the inheritance models (recessive, dominant,...

ProtoMol is an object-oriented component based framework for molecular dynamics simulations.

Web application to make user-friendly requests on large XML database. Tools to XML-ize large bodies of semi-formal texts (like floras). Computer-assisted specimen identification. Uses natural language processing, 2D/3D images analysis and generation.

GRANULE is a flashcards program based on Leitner cardfile methodology for learning new words. It features long-term memory training capabilities with scheduling, integrated pictures, sound, and full-screen mode.

Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower...

NGSView is a generally applicable, flexible and extensible next-generation sequence alignment editor. The software allows for visualization and manipulation of millions of sequences simultaneously on a desktop computer, through a graphical interface.

The open bicycle computer (oBiCo) is an outdoor computer to be mounted on your bike. We are providing an open source based plattform to ether use Linux based software or go with a small GPL'ed C++ OS (Booting in just 2 seconds)