Results 91 to 100 of about 588,819 (199)
Statistical Modeling of RNA-Seq Data
Recently, ultra high-throughput sequencing of RNA (RNA-Seq) has been developed as an approach for analysis of gene expression. By obtaining tens or even hundreds of millions of reads of transcribed sequences, an RNA-Seq experiment can offer a comprehensive survey of the population of genes (transcripts) in any sample of interest.
Salzman, Julia +2 more
openaire +5 more sources
Barcode, UMI, Set format and BUStools [PDF]
We introduce the Barcode-UMI-Set format (BUS) for representing pseudoalignments of reads from single-cell RNA-seq experiments. The format can be used with all single-cell RNA-seq technologies, and we show that BUS files can be efficiently generated ...
Melsted, Páll +2 more
core +1 more source
From bench to bytes: a practical guide to RNA sequencing data analysis
RNA sequencing (RNA-Seq) is a high-throughput sequencing approach that enables comprehensive quantification of transcriptomes at a genome-wide scale. As a result, RNA-Seq has become a routine component of molecular biology research, and more researchers ...
Prabin Dawadi +7 more
doaj +1 more source
We report a microfluidic system that physically separates nuclear RNA (nucRNA) and cytoplasmic RNA (cytRNA) from a single cell and enables single-cell integrated nucRNA and cytRNA-sequencing (SINC-seq).
Mahmoud N. Abdelmoez +8 more
doaj +1 more source
Pan‐Cancer Single‐Nucleus Total RNA Sequencing Using snHH‐Seq
Tumor heterogeneity and its drivers impair tumor progression and cancer therapy. Single‐cell RNA sequencing is used to investigate the heterogeneity of tumor ecosystems. However, most methods of scRNA‐seq amplify the termini of polyadenylated transcripts,
Haide Chen +32 more
doaj +1 more source
DREAMSeq: An Improved Method for Analyzing Differentially Expressed Genes in RNA-seq Data
RNA sequencing (RNA-seq) has become a widely used technology for analyzing global gene-expression changes during certain biological processes. It is generally acknowledged that RNA-seq data displays equidispersion and overdispersion characteristics ...
Zhihua Gao +3 more
doaj +1 more source
Elimination of PCR duplicates in RNA-seq and small RNA-seq using unique molecular identifiers
Background RNA-seq and small RNA-seq are powerful, quantitative tools to study gene regulation and function. Common high-throughput sequencing methods rely on polymerase chain reaction (PCR) to expand the starting material, but not every molecule ...
Yu Fu +4 more
doaj +1 more source
Quantitative RNA Analysis Using RNA-Seq
High-throughput sequencing of cDNA copies of mRNA (RNA-seq) provides a digital readout of mRNA levels over several orders of magnitude, as well as mapping the transcripts to the nucleotide level. Here we describe two different RNA-seq approaches, including one that exploits the 39-nucleotide mini-exon or spliced leader (SL) sequence found at the 5' end
Myler, P. J. +3 more
openaire +3 more sources
RNA sequencing and immunohistochemistry jointly improve tumor biomarker interpretation
This study aimed to assess the correlation between RNA sequencing (RNA-seq) and immunohistochemistry (IHC) in detecting key cancer biomarkers across solid tumors, and then, to establish RNA-seq thresholds that accurately reflect clinical IHC ...
Vladimir Kushnarev +15 more
doaj +1 more source
The poly(A) tails on mRNA are vital for their function but it is difficult to map full-length sequences of mRNA isoforms with the entire poly(A) tails.
Yusheng Liu +3 more
doaj +1 more source

