Comprehensive assessment of multiple biases in small RNA sequencing reveals significant differences in the performance of widely used methods

Comprehensive assessment of multiple biases in small RNA sequencing reveals significant differences in the performance of widely used methods

Abstract Background RNA sequencing offers advantages over other quantification methods for microRNA (miRNA), yet numerous biases make reliable quantification challenging. Previous evaluations of these biases have focused on adapter ligation bias with limited evaluation of reverse transcription bias...

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Bibliographic Details
Main Authors: Carrie Wright, Anandita Rajpurohit, Emily E. Burke, Courtney Williams, Leonardo Collado-Torres, Martha Kimos, Nicholas J. Brandon, Alan J. Cross, Andrew E. Jaffe, Daniel R. Weinberger, Joo Heon Shin
Format: Article
Language:English
Published: BMC 2019-06-01
Series:BMC Genomics
Subjects:
Small RNA sequencing
microRNA
isomiRs
Library preparation
Unique molecular identifiers
Online Access:http://link.springer.com/article/10.1186/s12864-019-5870-3

Internet

http://link.springer.com/article/10.1186/s12864-019-5870-3

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