High-Resolution Sequencing and Modeling Identifies Distinct Dynamic RNA Regulatory Strategies

High-Resolution Sequencing and Modeling Identifies Distinct Dynamic RNA Regulatory Strategies

Cells control dynamic transitions in transcript levels by regulating transcription, processing, and/or degradation through an integrated regulatory strategy. Here, we combine RNA metabolic labeling, rRNA-depleted RNA-seq, and DRiLL, a novel computational framework, to quantify the level; editing sit...

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Bibliographic Details
Main Authors: Raychowdhury, Raktima, Jovanovic, Marko, Stumpo, Deborah J., Pauli, Andrea, Hacohen, Nir, Schier, Alexander F., Blackshear, Perry J., Friedman, Nir, Amit, Ido, Rabani, Michal, Rooney, Michael Steven, Regev, Aviv
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: Elsevier 2016
Online Access:http://hdl.handle.net/1721.1/105734
https://orcid.org/0000-0001-8567-2049

Internet

http://hdl.handle.net/1721.1/105734
https://orcid.org/0000-0001-8567-2049

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