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Sculptor is an interactive multi-resolution docking and visualization program for low-resolution density maps and atomic structures. We are developing Sculptor as a GUI-based extension of the Situs docking programs, to allow an interactive exploration and analysis of volumetric maps.
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Sculptor Version 2.1 The latest release of Sculptor includes...
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We also list here some relevant articles that describe...
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Click to download the Sculptor 2 user guide in PDF format....
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Our tutorials focus on specific tasks that can be...
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- Starosolski Et Al., 2012
Zbigniew Starosolski, Marek Szczepanski, Manuel Wahle,...
- Rusu Et Al., 2012
The molecular graphics program Sculptor and the command-line...
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Sculptor is available in easy to install packages for Windows (setup.exe), Mac OS X (dmg packages for Intel Macs) and Linux (tgz packages for 32 and 64Bit kernels after ~2006), and as source code. Please click here to start the download process.
22 Οκτ 2024 · STATISTICA provides all the tools needed for statistics business. The input into (and output from) STATISTICA 10 has now been integrated with the fastest growing standard for data exchange and integration – Microsoft SharePoint.
2 Chapter 3 sample size population size frequency n N f sum w weight = = = Σ= = Sample mean: Population mean: () Weighted mean: Mean for frequency table: highest value + lowest value Midrange 2 x x n x N wx x w f x x f µ ∑ = ∑ = ∑• = ∑ ∑• = ∑ = 2 2 2 2 Range = Highest value - Lowest value Sample standard deviation: 1 ...
Sculptor,Release1.0.0 Version:1.0.0 Sculptor is ahigh level API and Graphical User InterfacearoundLMFITtailoredspecifically fortheanalysisof astronomicalspectra ...
The SpecAnalysis module provides a range of functions for spectral analsysis in the context of the Sculptor packages SpecOneD, SpecFit, and SpecModel classes. Calculate measurements of the continuum at a range of specified wavelengths for a spectral fit (SpecFit object).
In this chapter, we look at several statistical measures used to describe data and draw statistical inferences. 3.1 Mean. The most well-known descriptive statistic is the mean, or average value, which is obtained by adding up the values of the data and dividing by the number of observations: X1 X2. + + +. n Xn. X. 1 n (3.1) Xi. = n i ∑ 1 =