SOFA is a statistics, analysis, and reporting program with an emphasis on ease of use, learning as you go, and beautiful output. SOFA can connect directly to your database and lets you display results in an attractive format ready to share or put in a spreadsheet. SOFA will help you learn as you go, whether you are a student, business analyst, or researcher.
relax is a program designed for the study of the dynamics of proteins or other macromolecules though the analysis of NMR relaxation experiments. It supports exponential curve fitting for the calculation of the R1 and R2 relaxation rates, calculation of the NOE, reduced spectral density mapping, the Lipari and Szabo model-free analysis, study of domain motions via the N-state model and frame order dynamics theories using anisotropic NMR parameters such as RDCs and PCSs, and the investigation of stereochemistry.
The Snack sound extension adds commands for sound play/record and sound visualization, e.g. waveforms and spectrograms. It supports in- memory sound objects, file based audio, streaming audio, WAV, AU, AIFF, and MP3 file formats, synchronous and asynchronous playback. The visualization canvas item types update in real-time and can output postscript. New commands and file formats can be added using the Snack C-API.
PyChoReLib is a Python library which transforms lists of notenames to a chordname. The system uses built-in music theory knowledge to make it easy and quick to add support for new chord types. Its features include interval recognition, scale recognition, and demo chord recognition using real-time input from MIDI devices.
MetaPath is a tool for the analysis of metabolic pathways and associated visualization of experimental data. Built on the MetaCyc database, it provides an interactive map in which multiple pathways can be simultaneously visualized. Multiple annotations from the MetaCyc database are available, including synonyms, associated reactions and pathways, and database unification links. Metabolomics change data can be imported via simple CSV formats for visualization on targeted pathways. Pathways can be mined and removed algorithmically to identify key regulated pathways within a given dataset, providing a simper route to metabolic functions.