NMRViewJ is a software that allows users to easily visualize and analyze data generated by nuclear magnetic resonance (NMR) experiments. The powerful application enables scientists to extract valuable insights from complex data sets quickly and efficiently.
One of the most notable features of NMRViewJ is its ability to provide users with multiple views for one or more NMR spectra. This feature is highly customizable, allowing users to have an unlimited number of spectral windows of varying sizes and positions on their screens.
In addition to its highly customizable layout, NMRViewJ offers users an unlimited number of data files, making it easy for users to work with large datasets. This highly specialized software also comes equipped with a generic reader for block structured files, further simplifying the data analysis process.
NMRViewJ also features corresponding cursors in different windows that track each other automatically, making data analysis more efficient. Other features include contour plots of any plane of any 2, 3, or 4 dimensional spectra, 1D vector plots in any orientation of 1 to 4 dimensional spectra, and the ability to transfer spectral displays from one window to another using a Copy/Paste protocol.
Additional features of NMRViewJ include automatic peak picking and searching, facilitated peak analysis and interactive peak editing, spin-system tabulation, XY data plotting and non-linear regression analysis, a powerful command language (Tcl, tool command language), a programmable user interface, a flexible database, and comprehensive NOE constraint generation and analysis.
Furthermore, this specialized software also boasts structure analysis tools, including rmsd superpositions and constraint violation analysis. Users can access contextual help and on-line hyper-text documentation using web browsers such as Mosaic or Netscape.
Overall, NMRViewJ is an incredibly powerful software application for the analysis and visualization of NMR datasets. Its highly customizable layout, powerful analysis tools, and intuitive user interface make it a valuable asset to any research team working with NMR data.
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