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...
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 |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-06-01
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Series: | BMC Genomics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12864-019-5870-3 |
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