Optimizing RNA-Seq strategies for transcriptomic analysis of complex viral genomes | RNA-Seq Blog
A technology-agnostic long-read analysis pipeline for transcriptome discovery and quantification | bioRxiv
Long-read human genome sequencing and its applications | Nature Reviews Genetics
Gene expression | Oxford Nanopore Technologies
Read mapping or alignment | Functional genomics II
Long-read nanopore sequencing and FLAIR analysis to identify... | Download Scientific Diagram
A Long Look into the Early Life of RNA | Springer Nature Protocols and Methods Community
Opportunities and challenges in long-read sequencing data analysis | Genome Biology | Full Text
Transcriptome (RNA-Seq)
Nanopore long-read RNA-seq and absolute quantification delineate transcription dynamics in early embryo development of an insect pest | Scientific Reports
Long-read transcriptome sequencing reveals abundant promoter diversity in distinct molecular subtypes of gastric cancer | Genome Biology | Full Text
Long Read RNA-seq Data Standards and Processing Pipeline – ENCODE
ESPRESSO: Robust discovery and quantification of transcript isoforms from error-prone long-read RNA-seq data | Science Advances
Researchers use a combination of third generation long-read RNA sequencing technology and short-read RNAseq to characterize the splicing landscape of prostate cancer | RNA-Seq Blog
A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines | bioRxiv
IJMS | Free Full-Text | L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data
RNA sequencing
Long-Read Sequencing Technology | For challenging genomes
Long-Read Sequencing – A Powerful Tool in Viral Transcriptome Research: Trends in Microbiology
Figure 1 from LONG-READ RNA SEQUENCING ANALYSIS OF THE LYTIC HUMAN CYTOMEGALOVIRUS TRANSCRIPTOME | Semantic Scholar
A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines | bioRxiv
RNA-Seq - Wikipedia
Long-Read Sequencing – A Powerful Tool in Viral Transcriptome Research: Trends in Microbiology
