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| Lindsay G. Cowell. |
| An ontological representation of the entities relevant to biological research is urgently needed. The cell ontology developed by Bard and colleagues (CL) (Bard et al. 2005) makes a significant contribution towards fulfilling this need by providing an ontology of cell types. The CL has already proven useful for data annotation (e.g. Grumbling et al. 2006), although the ontology’s potential utility goes well beyond that specific application. For example, using the number of distinct cell types in an organism as a measure of biological complexity, Vogel and Chothia (2006) compared the proteomes of 38 organisms of varying complexity and identified patterns in the evolution and expansion of protein domain superfamilies. This work has implications... |
| Tipo: Manuscript |
Palavras-chave: Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3971/version/1 |
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| Albert Goldfain; Lindsay G. Cowell; Barry Smith. |
| An accurate classification of bacteria is essential for the proper identification of patient infections and subsequent treatment decisions. Multi-Locus Se-quence Typing (MLST) is a genetic technique for bacterial classification. MLST classifications are used to cluster bacteria into clonal complexes. Importantly, clonal complexes can serve as a biological species concept for bacteria, facilitating an otherwise difficult taxonomic classification. In this paper, we argue for the inclusion of terms relating to clonal complexes in biomedical ontologies. |
| Tipo: Manuscript |
Palavras-chave: Bioinformatics. |
| Ano: 2009 |
URL: http://precedings.nature.com/documents/3476/version/1 |
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