Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

IVT-seq reveals extreme bias in RNA-sequencing


ABSTRACT: Background RNA sequencing (RNA-seq) is a powerful technique for identifying and quantifying transcription and splicing events, both known and novel. However, given its recent development and the proliferation of library construction methods, understanding the bias it introduces is incomplete but critical to realizing its value. Results Here we present a method, in vitro transcription sequencing (IVT-seq), for identifying and assessing the technical biases in RNA-seq library generation and sequencing at scale. We created a pool of > 1000 in vitro transcribed (IVT) RNAs from a full-length human cDNA library and sequenced them with poly-A and total RNA-seq, the most common protocols. Because each cDNA is full length and we show IVT is incredibly processive, each base in each transcript shoul

ORGANISM(S): Homo sapiens

SUBMITTER: Nicholas Lahens 

PROVIDER: E-GEOD-50445 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress