MACSIMS : multiple alignment of complete sequences information management system

Background: In the post-genomic era, systems-level studies are being performed that seek to explain complex biological systems by integrating diverse resources from fields such as genomics, proteomics or transcriptomics. New information management systems are now needed for the collection, validation and analysis of the vast amount of heterogeneous data available. Multiple alignments of complete sequences provide an ideal environment for the integration of this information in the context of the protein family. Results: MACSIMS is a multiple alignment-based information management program that combines the advantages of both knowledge-based and ab initio sequence analysis methods. Structural and functional information is retrieved automatically from the public databases. In the multiple alignment, homologous regions are identified and the retrieved data is evaluated and propagated from known to unknown sequences with these reliable regions. In a large-scale evaluation, the specificity o...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Julie D. Thompson, Arnaud Muller, Andrew M. Waterhouse, James B. Procter, Geoffrey J. Barton, Frédéric Plewniak, Olivier Poch
• Keywords: BMCBI 2006, Information Management, Information Management System, Multiple Alignment