r22707 - /trunk/docs/latex/bibliography.bib -- April 11, 2014 - 08:30

Author: bugman
Date: Fri Apr 11 08:30:08 2014
New Revision: 22707

URL: http://svn.gna.org/viewcvs/relax?rev=22707&view=rev
Log:
Updated the relaxation dispersion citation for relax as this is now 
officially published.


Modified:
    trunk/docs/latex/bibliography.bib

Modified: trunk/docs/latex/bibliography.bib
URL: 
http://svn.gna.org/viewcvs/relax/trunk/docs/latex/bibliography.bib?rev=22707&r1=22706&r2=22707&view=diff
==============================================================================
--- trunk/docs/latex/bibliography.bib   (original)
+++ trunk/docs/latex/bibliography.bib   Fri Apr 11 08:30:08 2014
@@ -5228,8 +5228,12 @@
 
 @Article{Morin14,
   author = {Morin, S. and Linnet, T. E. and Lescanne, M. and Schanda, P. and 
Thompson, G. S. and Tollinger, M. and Teilum, K. and Gagn\'e, S. and Marion, 
D. and Griesinger, C. and Blackledge, M. and d'Auvergne, E. J.},
-  title = {relax: the analysis of biomolecular kinetics using {NMR} 
relaxation dispersion data},
-  journal = {Submitted},
+  title = {relax: the analysis of biomolecular kinetics and thermodynamics 
using {NMR} relaxation dispersion data},
+  journal = bioinformatics,
+  abstract = {Nuclear Magnetic Resonance (NMR) is a powerful tool for 
observing the motion of biomolecules at the atomic level. One technique, the 
analysis of relaxation dispersion phenomenon, is highly suited for studying 
the kinetics and thermodynamics of biological processes. Built on top of the 
relax computational environment for NMR dynamics is a new dispersion analysis 
designed to be comprehensive, accurate and easy to use. The software supports 
more models, both numeric and analytic, than current solutions. An automated 
protocol, available for scripting and driving the GUI, is designed to 
simplify the analysis of dispersion data for NMR spectroscopists. Decreases 
in optimisation time are granted by parallelisation for running on computer 
clusters and by skipping an initial grid search by using parameters from one 
solution as the starting point for another – using analytic model results 
for the numeric models, taking advantage of model nesting, and using averaged 
non-clustered results for the clustered analysis.Availability: The software 
relax is written in Python with C modules and is released under the GPLv3+ 
licence. Source code and precompiled binaries for all major operating systems 
are available from http://www.nmr-relax.com. Contact: edward@xxxxxxxxxxxxx}, 
+  url = 
{http://bioinformatics.oxfordjournals.org/content/early/2014/04/09/bioinformatics.btu166.abstract},
 
+  eprint = 
{http://bioinformatics.oxfordjournals.org/content/early/2014/04/09/bioinformatics.btu166.full.pdf+html},
 
+  doi = {10.1093/bioinformatics/btu166},
   year = {2014}
 }