Genome Analysis and Annotation

A similar package, Imagene, has been developed at Universite Paris VI (Medigue et al., 1999). 

Using Genome Comparison for Prediction of Protein Functions 

Reload Home Search Netscape Print Secuiiv Shop 3L Bookmari s A. Locatpn http // www.ncbi-ri hg /cgi )in/C0G/nph-cognitor99  

Reload Home Search Netscape Print Secuiiv Shop 

13L bookmarks Location http // www.ncbi.ritanhgav/cghbirv COG/nph-cognitoi99 

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Romualdi, A., Siddiqui, R., Glockner, G., Lehmann, R and Suhnel, J. (2005) GenColors accelerated comparative analysis and annotation of prokaryotic genomes at various stages of completeness. Bioinformatics 21, 3669-3671. 

Mewes, H. W., C. Amid, R. Arnold, D. Frishman, U. Guldener, G. Mannhaupt, M. Mun-sterkotter, et al. 2004. MIPS Analysis and annotation of proteins from whole genomes. Nucleic Acids Res 32, Database Issue D4IM. 

Zhang, J., and Madden, T. E. (1997). Power BEAST A new network BLAST application for interactive or automated sequence analysis and annotation. Genome Res. 7, 649-656. 

The current situation in bioinformatics is characterized by an avalanche of DNA sequences from the human genome project and similar programs and, consequently, an exponential increase in DNA sequences but only a linear increase in protein 3D structures. While multitudes of putative genes have been annotated, up to 90% of all known DNA sequences have no assigned, i.e., experimentally proven, function. From this situation arise the need for interpretation of DNA sequences by information technology, and moreover, analysis of functional genomics and proteomics (see Chapter 15). 

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