NMRPIPE - A MULTIDIMENSIONAL SPECTRAL PROCESSING SYSTEM BASED ON UNIX PIPES

被引:12390
作者
DELAGLIO, F
GRZESIEK, S
VUISTER, GW
ZHU, G
PFEIFER, J
BAX, A
机构
[1] UNIV UTRECHT, BIJVOET CTR BIOMOLEC RES, 3584 CH UTRECHT, NETHERLANDS
[2] HONG KONG UNIV SCI & TECHNOL, DEPT BIOCHEM, KOWLOON, HONG KONG
[3] NIH, DIV COMP RES & TECHNOL, BETHESDA, MD 20892 USA
关键词
MULTIDIMENSIONAL NMR; DATA PROCESSING; FOURIER TRANSFORMATION; LINEAR PREDICTION; MAXIMUM ENTROPY; UNIX;
D O I
10.1007/BF00197809
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The NMRPipe system is a UNIX software environment of processing, graphics, and analysis tools designed to meet current routine and research-oriented multidimensional processing requirements, and to anticipate and accommodate future demands and developments. The system is based on UNIX pipes, which allow programs running simultaneously to exchange streams of data under user control. In an NMRPipe processing scheme, a stream of spectral data flows through a pipeline of processing programs, each of which performs one component of the overall scheme, such as Fourier transformation or linear prediction. Complete multidimensional processing schemes are constructed as simple UNIX shell scripts. The processing modules themselves maintain and exploit accurate records of data sizes, detection modes, and calibration information in all dimensions, so that schemes can be constructed without the need to explicitly define or anticipate data sizes or storage details of real and imaginary channels during processing. The asynchronous pipeline scheme provides other substantial advantages, including high flexibility, favorable processing speeds, choice of both all-in-memory and disk-bound processing, easy adaptation to different data formats, simpler software development and maintenance, and the ability to distribute processing tasks on multi-CPU computers and computer networks.
引用
收藏
页码:277 / 293
页数:17
相关论文
共 55 条
[1]   IMPROVED ALGORITHM FOR NONITERATIVE TIME-DOMAIN MODEL-FITTING TO EXPONENTIALLY DAMPED MAGNETIC-RESONANCE SIGNALS [J].
BARKHUIJSEN, H ;
DEBEER, R ;
VANORMONDT, D .
JOURNAL OF MAGNETIC RESONANCE, 1987, 73 (03) :553-557
[2]   RETRIEVAL OF FREQUENCIES, AMPLITUDES, DAMPING FACTORS, AND PHASES FROM TIME-DOMAIN SIGNALS USING A LINEAR LEAST-SQUARES PROCEDURE [J].
BARKHUIJSEN, H ;
DEBEER, R ;
BOVEE, WMMJ ;
VANORMONDT, D .
JOURNAL OF MAGNETIC RESONANCE, 1985, 61 (03) :465-481
[3]   METHODOLOGICAL ADVANCES IN PROTEIN NMR [J].
BAX, A ;
GRZESIEK, S .
ACCOUNTS OF CHEMICAL RESEARCH, 1993, 26 (04) :131-138
[4]   THE HIGH FIDELITY EXTRACTION OF WEAK BROAD LINES FROM NMR-SPECTRA CONTAINING LARGE SOLVENT PEAKS [J].
CALLAGHAN, PT ;
MACKAY, AL ;
PAULS, KP ;
SODERMAN, O ;
BLOOM, M .
JOURNAL OF MAGNETIC RESONANCE, 1984, 56 (01) :101-109
[5]   SENSITIVITY IMPROVEMENT IN PROTON-DETECTED 2-DIMENSIONAL HETERONUCLEAR RELAY SPECTROSCOPY [J].
CAVANAGH, J ;
PALMER, AG ;
WRIGHT, PE ;
RANCE, M .
JOURNAL OF MAGNETIC RESONANCE, 1991, 91 (02) :429-436
[6]   IMPROVEMENT OF LINEAR PREDICTION PROCESSING OF NMR-SPECTRA HAVING VERY LOW SIGNAL-TO-NOISE [J].
DELSUC, MA ;
NI, F ;
LEVY, GC .
JOURNAL OF MAGNETIC RESONANCE, 1987, 73 (03) :548-552
[7]  
DELSUC MA, 1989, MAXIMUM ENTROPY BAYE
[8]  
FRIEDRICHS MS, 1995, J BIOMOL NMR, V5, P147, DOI 10.1007/BF00208805
[9]   A COMMON-SENSE APPROACH TO PEAK PICKING IN 2-DIMENSIONAL, 3-DIMENSIONAL, AND 4-DIMENSIONAL SPECTRA USING AUTOMATIC COMPUTER-ANALYSIS OF CONTOUR DIAGRAMS [J].
GARRETT, DS ;
POWERS, R ;
GRONENBORN, AM ;
CLORE, GM .
JOURNAL OF MAGNETIC RESONANCE, 1991, 95 (01) :214-220
[10]   IMAGE-RECONSTRUCTION FROM INCOMPLETE AND NOISY DATA [J].
GULL, SF ;
DANIELL, GJ .
NATURE, 1978, 272 (5655) :686-690