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groHMM: a computational tool for identifying unannotated and cell type-specific transcription units from global run-on sequencing data
BACKGROUND: Global run-on coupled with deep sequencing (GRO-seq) provides extensive information on the location and function of coding and non-coding transcripts, including primary microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and enhancer RNAs (eRNAs), as well as yet undiscovered classes of t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4502638/ https://www.ncbi.nlm.nih.gov/pubmed/26173492 http://dx.doi.org/10.1186/s12859-015-0656-3 |