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Using Sequence Similarity Networks for Visualization of Relationships Across Diverse Protein Superfamilies
The dramatic increase in heterogeneous types of biological data—in particular, the abundance of new protein sequences—requires fast and user-friendly methods for organizing this information in a way that enables functional inference. The most widely used strategy to link sequence or structure to fun...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631154/ https://www.ncbi.nlm.nih.gov/pubmed/19190775 http://dx.doi.org/10.1371/journal.pone.0004345 |