Muscorian - pipeline for biological data analysis

Muscorian version 0.02
Copyright (c) 2005, Maurice Ling <mauriceling@acm.org>
                                    Architect and Lead Developer of Muscorian
All rights reserved 2005, Maurice Ling

Pre-requisites	1. Python Programming Platform 2. Firebird Relational Database Management System from IBPhoenix 3. Python DB-API 2.0 compliant library for Firebird RDBMS, KInterbasDB 4. Python's SOAP implementation, SOAPpy, from Python Web Services
Downloads	The software is free for academic and non-profit users with no warranty provided or implied, and can be obtained from here. Latest version can be obtained from CVS: cvs -d:pserver:anonymous@cvs.sourceforge.net:/cvsroot/ib-dwb login cvs -z3 -d:pserver:anonymous@cvs.sourceforge.net:/cvsroot/ib-dwb co -P muscorian
Documentation	[To be done]
Support	Join the Muscorian mailing list and post to the list at ib-dwb-muscorian@lists.sourceforge.net

Acknowledgements and Credits MUSCORIAN is a text analysis meta-tool that is developed in my Ph.D. candidature in Department of Zoology, The University of Melbourne, Australia, under the supervision of Assoc. Prof. Kevin R. Nicholas (Primary Supervisor, Principal Research Fellow), Dr. Christophe Leferve (Research Scientist, Victorian Bioinformatics Consortium, Australia) and Dr. Andrew Lonie (Dept of Information Systems, University of Melbourne). Part of this work is carried out in BioInformatics Research Centre (BIRC), Nanyang Technological University, Singapore, under the Assoc. Prof. Lin Feng (School of Computer Engineering). This project is funded by the Cooperative Research Centre for Innovative Dairy Products (Dairy CRC), Australia. For full credit roll, please go to credit.txt