Azara, v2.8, copyright (C) 1993-2010 Wayne Boucher and Department of Biochemistry, University of Cambridge. $
$ Date file created: 10 Oct 1994 Date last updated: 30 Mar 2010 WWW address: http://www.ccpn.ac.uk/azara Download address: http://www.ccpn.ac.uk/download/azara e-mail address (bugs, etc.): azara@bioc.cam.ac.uk snail mail address (license, etc.): Azara c/o Dr. Wayne Boucher Department of Biochemistry Tennis Court Road Cambridge CB2 1QW England Azara is a suite of programs to process and view NMR data. See the LICENSE for the terms and conditions of use. The problem of support still needs to be worked out, but one statement definitely holds: no LICENSE, no support. $$$ Release 1.0-0: 10 Oct 1994 Release 1.0-1: 26 Nov 1994 Release 1.0-2: 04 Feb 1995 Release 1.0-3: 22 May 1995 Release 2.0-0: 23 Nov 1996 Release 2.5-0: 15 May 2001 Release 2.6-0: 15 Nov 2001 Release 2.7-0: 30 Oct 2002 Release 2.8-0: 07 Apr 2010 $$ The download directory contains the following files: $$ README-2.8 this file LICENSE the license azara-2.8-src.tgz source code azara-2.8-linux32.tgz source code and 32-bit Linux executables azara-2.8-linux64.tgz source code and 64-bit Linux executables azara-2.8-osx10.6.tgz source code and OSX 10.6 executables azara-2.0-scripts.tar.gz sample script files CHANGES-1.0-1 changes from release 1.0-0 to 1.0-1 CHANGES-1.0-2 changes from release 1.0-1 to 1.0-2 CHANGES-1.0-3 changes from release 1.0-2 to 1.0-3 CHANGES-2.0-0 changes from release 1.0-3 to 2.0-0 CHANGES-2.5-0 changes from release 2.0-0 to 2.5-0 CHANGES-2.6-0 changes from release 2.5-0 to 2.6-0 CHANGES-2.7-0 changes from release 2.6-0 to 2.7-0 CHANGES-2.8-0 changes from release 2.7-0 to 2.8-0 $$ The Azara 'release' is considered to be one of the tar files, azara-2.8*.tgz. The executables are compiled for both Linux and OSX computers. If you are using another operating system then you will certainly need to re-compile the programs. In the past the code has been successfully compiled on IRIX and Sun computers, and the non-graphical programs have been ported successfully to Windows. See the file INSTALL in the release for more details. The sample script files were put together by Bill Broadhurst of the Department of Biochemistry, University of Cambridge. The Ansig peak picking macros were written by Colin Hardman of the Department of Biochemistry, University of Cambridge. Many thanks to them for putting these files together, and for allowing them to be placed with this release. Finally, a quick guide to the programs currently available. [Motif] means that the Motif and X libraries are needed to compile the program, and an X server is needed to run it. process: A general multi-dimensional NMR processing program. It can be used just to convert unblocked data to blocked data, for use in the other programs. plot2: [Motif] Allows contouring and viewing of (2-dimensional) planes from one or more data files, with hardcopy output also available. Also allows (approximate) phasing of (1-dimensional) slices (rows or columns) of the planes. plot1: [Motif] Allows processing and viewing of 1-dimensional data, with 'real-time' control over arbitrary parameters. Hardcopy output is also available. contours: Contours (two-dimensional) planes from multi-dimensional data. The contours are output in a format suitable for use by Per Kraulis' program Ansig. connect: Takes a shift file and a crosspeak file and matches the crosspeaks to one or more pairs of shifts. Creates output suitable for Xplor/CNS. peak_find: Finds extrema in a spectrum, and optionally allows a simple parabolic fit of the extrema centers. peak_fit : Fits extrema (magnitude, phase, center and linewidth) in a spectrum using process scripts. combine: Combines two or more separate data sets, e.g. by adding them together. Only a couple of combining functions are currently defined. project: Projects multi-dimensional data onto chosen dimensions. It can also be used to permute the ordering of the dimensions of data. In particular, any 2 dimensions of a multi-dimensional data file can be transposed. extract: Extracts (hyper)planes from multi-dimensional data. Useful for testing 'process' on smaller data sets. deflate: Compresses data by zeroing all data below a specified level (in absolute value), and then using 'run-length' encoding. Can be used as input to Per Kraulis' program Ansig. reflate: Uncompresses data compressed using 'deflate'. unblock: Converts blocked data to unblocked (i.e., sequential) data. This provides a possible route to importing data into other programs. And there is a Python module, in the DataRows directory, providing access to blocked data files a row at a time. $