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ESPRESSO: Robust discovery and quantification of transcript isoforms from error-prone long-read RNA-seq data
PubMed Full text in PMC Similar studies SRA Run Selector
TEQUILA-seq: a versatile and low-cost method for targeted long-read RNA sequencing
Examining RNA Transcript Changes in Stem Cells Undergoing Differentiation, Using Short and Long Reads Sequencing Technologies
PubMed Full text in PMC Similar studies
Examining RNA Transcript Changes in Stem Cells Undergoing Differentiation, Using Short and Long Reads Sequencing Technologies [Illumina short reads]
Examining RNA Transcript Changes in Stem Cells Undergoing Differentiation, Using Short and Long Reads Sequencing Technologies [Nanopore long reads]
Profiling the Full-Length Transcriptome of Extracellular Vesicles With Oxford Nanopore Sequencing
A large-scale comparative study of isoform expressions measured on four platforms
PubMed Full text in PMC Similar studies Analyze with GEO2R
High-resolution transcriptome analysis with long-read RNA sequencing
PubMed Full text in PMC Similar studies Analyze with GEO2RSRA Run Selector
Long and short-read single cell RNA-seq profiling of human lung adenocarcinoma cell lines using 10X V3 chemistry.
Long and short-read single cell RNA-seq profiling of human lung adenocarcinoma cell lines using 10X version 2 chemstry.
Long and short-read single cell RNA-seq profiling of mouse muscle stem cells
Designing a single cell ATAC-Seq (scATAC-Seq) dataset to validate long read RNA-Seq isoforms and benchmark scATAC-Seq analysis methods
Long-read transcriptome sequencing reveals abundant promoter diversity in distinct molecular subtypes of gastric cancer
isoCirc catalogs full-length circular RNA isoforms in human transcriptomes
Merging short and stranded long reads improves transcript assembly
Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Nrl-/- Retinal Transcriptomes
Analysis of HIV-1 transcriptome in different cell models with nanopore sequencing
Analysis of HIV-1 transcriptome in different cell models with nanopore sequencing [KHI-1_A2019]
Analysis of HIV-1 transcriptome in different cell models with nanopore sequencing [HIVTCD4_A2018]
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