Work

A probabilistic framework for aligning paired-end RNA-seq data

Year: 2020

Type: article

Abstract: Motivation: The RNA-seq paired-end read (PER) protocol samples transcript fragments longer than the sequencing capability of today's technology by sequencing just the two ends of each fragment. Deep sampling of the transcriptome using the PER protocol presents the opportunity to reconstruct the unsequenced portion of each transcript fragment using end reads from overlapping PERs, guided by the expected length of the fragment.

Source: Carolina Digital Repository (University of North Carolina at Chapel Hill)

DOI: 10.17615/b2ev-9b75

Authors: Chiang, Derek Y., Prins, Jan F., Hu, Yin, He, Xiaping, Wang, Kai, Liu, Jinze

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Genomics and Phylogenetic Studies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Science Foundation, Alfred P. Sloan Foundation, National Institutes of Health

Award: Exon Splice Pattern Characterization of the Whole mRNA Transcriptome