Three computational experiments to assess error propagation in biological sequence annotations

Event details
Date | 22.04.2010 |
Hour | 12:15 |
Speaker | Dr Marco Pagni, Vital IT, Swiss Institute of Bioinformatics, Lausanne |
Location |
SV 1717A
|
Category | Conferences - Seminars |
Due to the rapid release of new data from genome sequencing projects, the majority of sequences in public databases have not been experimentally characterized. Sequences are annotated using the diverse in silico methods available. The level of misannotation and the types of misannotations generated by these methods are difficult to establish, but they are clearly not negligible and are sometimes steadily propagated once in the public domain. During this seminar, three test cases will be presented: (i) The genetic map of Bacillus subtilis 168; (ii) The classification of protein sequences with modular architecture; (iii) The multiple amino acid auxotrophies of the fungal pathogen Pneumocystis carinii In each case, it will be shown that a computational experimentation proved very helpful to deal with the burden provoked by error propagation. Sound biological conclusions can be established, despite the poorly characterized "noise" present in the starting material.
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Practical information
- General public
- Free
Organizer
- Gisou van der Goot & Felix Naef
Contact
- Felix Naef