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Transcriptional landscape estimation from tiling array data using a model of signal shift and drift
Motivation: High-density oligonucleotide tiling array technology holds the promise of a better description of the complexity and the dynamics of transcriptional landscapes. In organisms such as bacteria and yeasts, transcription can be measured on a genome-wide scale with a resolution >25 bp. The...
| Autores principales: | , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2735659/ https://www.ncbi.nlm.nih.gov/pubmed/19561016 http://dx.doi.org/10.1093/bioinformatics/btp395 |