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Informatics for Unveiling Hidden Genome Signatures
With the increasing amount of available genome sequences, novel tools are needed for comprehensive analysis of species-specific sequence characteristics for a wide variety of genomes. We used an unsupervised neural network algorithm, a self-organizing map (SOM), to analyze di-, tri-, and tetranucleo...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Cold Spring Harbor Laboratory Press
2003
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC430167/ https://ncbi.nlm.nih.gov/pubmed/12671005 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.634603 |
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