SynBlast: Assisting the analysis of conserved synteny information |
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| Authors: | Jörg Lehmann Peter F Stadler |
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| Affiliation: | 1.Bioinformatics Group, Department of Computer Science,University of Leipzig,Leipzig,Germany;2.Interdisciplinary Center for Bioinformatics,University of Leipzig,Leipzig,H?rtelstra?e 16-18,Germany;3.Fraunhofer Institute for Cell Therapy and Immunology,Leipzig,Germany;4.Santa Fe Institute,Santa Fe,USA;5.Institute for Theoretical Chemistry,University of Vienna,Wien,Austria;6.Biomedical Informatics,Arizona State University, Tempe,USA |
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| Abstract: | ![]()
Motivation In the last years more than 20 vertebrate genomes have been sequenced, and the rate at which genomic DNA information becomes available is rapidly accelerating. Gene duplication and gene loss events inherently limit the accuracy of orthology detection based on sequence similarity alone. Fully automated methods for orthology annotation do exist but often fail to identify individual members in cases of large gene families, or to distinguish missing data from traceable gene losses. This situation can be improved in many cases by including conserved synteny information. |
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