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...

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Detalles Bibliográficos
Autores principales: Chae, Minho, Danko, Charles G., Kraus, W. Lee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Software
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

Internet

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

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