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BUSTER-TNT

Description

    BUSTER uses maximum-likelihood (ML) and maximum-entropy (ME) techniques to overcome two major shortcomings encountered by classical methods (least-squares (LS) + difference maps) when dealing with the refinement and completion of partial structures.

Version

    v. 1.0.2

OS

    Linux, Irix, Tru64

Documentation, Other Resources

Citation


    Bricogne, G. (1997). "The Bayesian Statistical Viewpoint on Structure Determination: Basic Concepts and Examples", in Methods in Enzymology, 276A, 361-423. C.W. Carter & R.M. Sweet, eds.


Last modified: 05/21/05