Low-cost, Low-bias and Low-input RNA-seq with High Experimental Verifiability based on Semiconductor Sequencing

Abstract Low-input RNA-seq is powerful to represent the gene expression profiles with limited number of cells, especially when single-cell variations are not the aim. However, pre-amplification-based and molecule index-based library construction methods boost bias or require higher throughput. Here...

Full description

Bibliographic Details
Main Authors: Zhibiao Mai, Chuanle Xiao, Jingjie Jin, Gong Zhang
Format: Article
Language:English
Published: Nature Portfolio 2017-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-01165-w