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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2017-04-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-017-01165-w |