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

ABSTRACT: We developed a new method on sequencing low-input RNA. This method shows much low-bias with the advantage of semiconductor while competing with smart-seq2. In order to analyze the low-input RNA datasets sensitively, we also develop FANSe2splice with high experimental verification rate as the analysis tool in our method.

ORGANISM(S): Homo sapiens

PROVIDER: GSE87660 | GEO | 2017/06/12

SECONDARY ACCESSION(S): PRJNA345493

REPOSITORIES: GEO

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