NvAssign: protein NMR spectral assignment with NMRView
Author(s) -
Nigel I. Kirby,
Eugene F. DeRose,
Robert E. London,
Geoffrey A. Mueller
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bth064
Subject(s) - computer science , interface (matter) , software , cluster analysis , spectral clustering , algorithm , weapon target assignment problem , fragment (logic) , cluster (spacecraft) , domain (mathematical analysis) , data mining , generalized assignment problem , programming language , optimization problem , mathematics , parallel computing , artificial intelligence , mathematical analysis , bubble , maximum bubble pressure method
Nuclear magnetic resonance (NMR) protein studies rely on the accurate assignment of resonances. The general procedure is to (1) pick peaks, (2) cluster data from various experiments or spectra, (3) assign peaks to the sequence and (4) verify the assignments with the spectra. Many algorithms already exist for automating the assignment process (step 3). What is lacking is a flexible interface to help a spectroscopist easily move from clustering (step 2) to assignment algorithms (step 3) and back to verification of the algorithm output with spectral analysis (step 4).
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