End Sequence Analysis Toolkit (ESAT) expands the extractable information from single-cell RNA-seq data

RNA-seq protocols that focus on transcript termini are well suited for applications in which template quantity is limiting. Here we show that, when applied to end-sequencing data, analytical methods designed for global RNA-seq produce computational artifacts. To remedy this, we created the End Seque...

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Foilsithe in:Genome Res
Main Authors: Derr, Alan, Yang, Chaoxing, Zilionis, Rapolas, Sergushichev, Alexey, Blodgett, David M., Redick, Sambra, Bortell, Rita, Luban, Jeremy, Harlan, David M., Kadener, Sebastian, Greiner, Dale L., Klein, Allon, Artyomov, Maxim N., Garber, Manuel
Formáid: Artigo
Teanga:Inglês
Foilsithe: Cold Spring Harbor Laboratory Press 2016
Ábhair:
Method
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5052061/
https://ncbi.nlm.nih.gov/pubmed/27470110
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1101/gr.207902.116
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