Short paired-end reads trump long single-end reads for expression analysis

Abstract Background Typical experimental design advice for expression analyses using RNA-seq generally assumes that single-end reads provide robust gene-level expression estimates in a cost-effective manner, and that the additional benefits obtained from paired-end sequencing are not worth the addit...

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Bibliographic Details
Main Authors: Adam H. Freedman, John M. Gaspar, Timothy B. Sackton
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Bioinformatics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12859-020-3484-z