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Automating Genomic Data Mining via a Sequence-based Matrix Format and Associative Rule Set
There is an enormous amount of information encoded in each genome – enough to create living, responsive and adaptive organisms. Raw sequence data alone is not enough to understand function, mechanisms or interactions. Changes in a single base pair can lead to disease, such as sickle-cell anemia, whi...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2005
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1637034/ https://www.ncbi.nlm.nih.gov/pubmed/16026599 http://dx.doi.org/10.1186/1471-2105-6-S2-S2 |