relax is a program designed for the study of the dynamics of proteins and other macromolecules though the analysis of experimental NMR data. 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 (or ensemble analysis) and frame order dynamics theories using anisotropic NMR parameters such as RDCs and PCSs, the investigation of stereochemistry in dynamic ensembles, and the analysis of relaxation dispersion.
QtIPy is a simple GUI-based automator for IPython notebooks. It allows you to attach triggers to files, folders, or timers to automatically run notebooks. IPython notebooks are great for interactively working through analysis problems, so why would you want to automatically run them? To get a record of how you ran your analysis! By running a notebook through QtIPy you get the output, figures, and a step by step log of how the analysis was performed all in the same folder.
iNA is a computational tool for quantitative analysis of fluctuations in biochemical reaction networks. Such fluctuations, also known as intrinsic noise, arise due to the stochastic nature of chemical reactions and cannot be ignored for when some molecules are present only in very low copy numbers as is the case in living cells. The SBML-based software computes statistical measures such as means and standard deviations of concentrations within a given accuracy using the analytical system size expansion. The result of iNA’s analysis can be tested against the computationally much more expensive stochastic simulation algorithm.
Kst is a fast real-time large-dataset viewing and plotting tool with built-in data analysis functionality. It contains many powerful built-in features and is expandable with plugins and extensions. It features powerful keyboard and mouse plot manipulation, a large selection of built-in plotting and data manipulation functions (such as histograms, equations, and power spectra), built-in filtering and curve fitting capabilities, a convenient command-line interface, a powerful graphical user interface with non-modal dialogs for an optimized workflow, support for several popular data formats, extended annotation objects similar to vector graphics applications, and high-quality export to bitmap or vector formats,
statsmodels is a Python package which provides a complement to scipy for statistical computations, including descriptive statistics and estimation of statistical models. The main included model categories are linear, discrete, generalized linear, and robust linear, and, in time series analysis, AR, ARMA, and VAR. It also includes statistical tests mainly for regression diagnostics. statsmodels was renamed from scikits.statsmodels.