Ontology highlight
ABSTRACT:
SUBMITTER: Mai Z
PROVIDER: S-EPMC5430657 | biostudies-literature | 2017 Apr
REPOSITORIES: biostudies-literature
Scientific reports 20170421 1
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 we demonstrate a simple, low-cost, low-bias and low-input RNA-seq with ion torrent semiconductor sequencing (LIEA RNA-seq). We also developed highly accurate and error-tolerant spliced mapping algorithm FANSe2 ...[more]