Wavelet-based ultra-high compression of multidimensional NMR data sets.
The application of a lossy data compression algorithm based on wavelet transform to 2D NMR spectra is presented. We show that this algorithm affords rapid and extreme compression ratios (e.g., 800:1), providing high quality reconstructed 2D spectra. The algorithm was evaluated to ensure that qualitative and quantitative information are retained in the compressed NMR spectra. Whilst the maximum compression ratio that can be achieved depends on the number of signals and on the difference between the most and the least intense peaks (dynamic range), a compression ratio of 80:1 is affordable even for the challenging case of homonuclear 2D experiments of large biomolecules.
Cobas
J Carlos
JC
Laboratorio Integral de Dinámica e Estructura de Biomoléculas José R. Carracido, Unidade de Resonancia Magnética, Edificio Cactus, RIAIDT, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain. qocarlos@usc.es
Tahoces
Pablo G
PG
Martin-Pastor
Manuel
M
Penedo
Mónica
M
Javier Sardina
F
F
D000465:Algorithms; D003505:Cyclodextrins / Q000737:chemistry*; D044962:Data Compression; D016208:Databases, Factual; D005346:Fibroblast Growth Factors / Q000737:chemistry*; D006801:Humans; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D011786:Quality Control; D018401:Sample Size; D012815:Signal Processing, Computer-Assisted; D047392:beta-Cyclodextrins
D003505:Cyclodextrins; D047392:beta-Cyclodextrins; D005346:Fibroblast Growth Factors; C031215:betadex