Literature DB >> 21215669

A covariance NMR toolbox for MATLAB and OCTAVE.

Timothy Short1, Leigh Alzapiedi, Rafael Brüschweiler, David Snyder.   

Abstract

The Covariance NMR Toolbox is a new software suite that provides a streamlined implementation of covariance-based analysis of multi-dimensional NMR data. The Covariance NMR Toolbox uses the MATLAB or, alternatively, the freely available GNU OCTAVE computer language, providing a user-friendly environment in which to apply and explore covariance techniques. Covariance methods implemented in the toolbox described here include direct and indirect covariance processing, 4D covariance, generalized indirect covariance (GIC), and Z-matrix transform. In order to provide compatibility with a wide variety of spectrometer and spectral analysis platforms, the Covariance NMR Toolbox uses the NMRPipe format for both input and output files. Additionally, datasets small enough to fit in memory are stored as arrays that can be displayed and further manipulated in a versatile manner within MATLAB or OCTAVE.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21215669      PMCID: PMC3042881          DOI: 10.1016/j.jmr.2010.11.018

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  17 in total

1.  Covariance nuclear magnetic resonance spectroscopy.

Authors:  Rafael Brüschweiler; Fengli Zhang
Journal:  J Chem Phys       Date:  2004-03-15       Impact factor: 3.488

2.  Covariance NMR spectroscopy by singular value decomposition.

Authors:  Nikola Trbovic; Serge Smirnov; Fengli Zhang; Rafael Brüschweiler
Journal:  J Magn Reson       Date:  2004-12       Impact factor: 2.229

3.  Spectral reconstruction methods in fast NMR: reduced dimensionality, random sampling and maximum entropy.

Authors:  Mehdi Mobli; Alan S Stern; Jeffrey C Hoch
Journal:  J Magn Reson       Date:  2006-07-11       Impact factor: 2.229

4.  The use of unsymmetrical indirect covariance NMR methods to obtain the equivalent of HSQC-NOESY data.

Authors:  Kirill A Blinov; Antony J Williams; Bruce D Hilton; Patrick A Irish; Gary E Martin
Journal:  Magn Reson Chem       Date:  2007-07       Impact factor: 2.447

5.  Rapid data collection for protein structure determination by NMR spectroscopy.

Authors:  Yingqi Xu; Dong Long; Daiwen Yang
Journal:  J Am Chem Soc       Date:  2007-05-31       Impact factor: 15.419

6.  Using unsymmetrical indirect covariance processing to calculate GHSQC-COSY spectra.

Authors:  Gary E Martin; Bruce D Hilton; Patrick A Irish; Kirill A Blinov; Antony J Williams
Journal:  J Nat Prod       Date:  2007-08-11       Impact factor: 4.050

7.  Hyperdimensional protein NMR spectroscopy in peptide-sequence space.

Authors:  Ewen Lescop; Bernhard Brutscher
Journal:  J Am Chem Soc       Date:  2007-09-11       Impact factor: 15.419

8.  NMRPipe: a multidimensional spectral processing system based on UNIX pipes.

Authors:  F Delaglio; S Grzesiek; G W Vuister; G Zhu; J Pfeifer; A Bax
Journal:  J Biomol NMR       Date:  1995-11       Impact factor: 2.835

9.  Generalized indirect covariance NMR formalism for establishment of multidimensional spin correlations.

Authors:  David A Snyder; Rafael Brüschweiler
Journal:  J Phys Chem A       Date:  2009-11-19       Impact factor: 2.781

10.  Quantitative covariance NMR by regularization.

Authors:  Yanbin Chen; Fengli Zhang; David Snyder; Zhehong Gan; Lei Bruschweiler-Li; Rafael Brüschweiler
Journal:  J Biomol NMR       Date:  2007-03-10       Impact factor: 2.582

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  6 in total

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Authors:  Shivanand M Pudakalakatti; Abhinav Dubey; Garima Jaipuria; U Shubhashree; Satish Kumar Adiga; Detlef Moskau; Hanudatta S Atreya
Journal:  J Biomol NMR       Date:  2014-02-02       Impact factor: 2.835

2.  Effortless assignment with 4D covariance sequential correlation maps.

Authors:  Bradley J Harden; Subrata H Mishra; Dominique P Frueh
Journal:  J Magn Reson       Date:  2015-09-21       Impact factor: 2.229

3.  Assignment of methyl NMR resonances of a 52 kDa protein with residue-specific 4D correlation maps.

Authors:  Subrata H Mishra; Dominique P Frueh
Journal:  J Biomol NMR       Date:  2015-05-08       Impact factor: 2.835

4.  Nmrglue: an open source Python package for the analysis of multidimensional NMR data.

Authors:  Jonathan J Helmus; Christopher P Jaroniec
Journal:  J Biomol NMR       Date:  2013-03-02       Impact factor: 2.835

5.  Signal Deconvolution and Noise Factor Analysis Based on a Combination of Time-Frequency Analysis and Probabilistic Sparse Matrix Factorization.

Authors:  Shunji Yamada; Atsushi Kurotani; Eisuke Chikayama; Jun Kikuchi
Journal:  Int J Mol Sci       Date:  2020-04-23       Impact factor: 5.923

6.  Facilitated assignment of large protein NMR signals with covariance sequential spectra using spectral derivatives.

Authors:  Bradley J Harden; Scott R Nichols; Dominique P Frueh
Journal:  J Am Chem Soc       Date:  2014-09-16       Impact factor: 15.419

  6 in total

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