Results 31 to 40 of about 591,228 (346)

RNA-Seq optimization with eQTL gold standards. [PDF]

open access: yes, 2013
BackgroundRNA-Sequencing (RNA-Seq) experiments have been optimized for library preparation, mapping, and gene expression estimation. These methods, however, have revealed weaknesses in the next stages of analysis of differential expression, with results ...
Arking, Dan E   +5 more
core   +2 more sources

Genetic circuit characterization and debugging using RNA‐seq

open access: yesMolecular Systems Biology, 2017
Genetic circuits implement computational operations within a cell. Debugging them is difficult because their function is defined by multiple states (e.g., combinations of inputs) that vary in time.
Thomas E Gorochowski   +7 more
doaj   +1 more source

Long read isoform sequencing reveals hidden transcriptional complexity between cattle subspecies

open access: yesBMC Genomics, 2023
The Iso-Seq method of full-length cDNA sequencing is suitable to quantify differentially expressed genes (DEGs), transcripts (DETs) and transcript usage (DTU).
Yan Ren   +5 more
doaj   +1 more source

Detecting differential usage of exons from RNA-Seq data [PDF]

open access: yes, 2012
RNA-Seq is a powerful tool for the study of alternative splicing and other forms of alternative isoform expression. Understanding the regulation of these processes requires comparisons between treatments, tissues or conditions.
Alejandro Reyes   +2 more
core   +3 more sources

Whole-transcriptome, high-throughput RNA sequence analysis of the bovine macrophage response to Mycobacterium bovis infection in vitro [PDF]

open access: yes, 2013
BACKGROUND: Mycobacterium bovis, the causative agent of bovine tuberculosis, is an intracellular pathogen that can persist inside host macrophages during infection via a diverse range of mechanisms that subvert the host immune response.
Browne, JA   +13 more
core   +2 more sources

intePareto: an R package for integrative analyses of RNA-Seq and ChIP-Seq data

open access: yesBMC Genomics, 2020
Background RNA-Seq, the high-throughput sequencing (HT-Seq) of mRNAs, has become an essential tool for characterizing gene expression differences between different cell types and conditions.
Yingying Cao   +2 more
doaj   +1 more source

3′ RNA-seq is superior to standard RNA-seq in cases of sparse data but inferior at identifying toxicity pathways in a model organism

open access: yesFrontiers in Bioinformatics, 2023
Introduction: The application of RNA-sequencing has led to numerous breakthroughs related to investigating gene expression levels in complex biological systems.
Ryan S. McClure   +4 more
doaj   +1 more source

Prime-seq, efficient and powerful bulk RNA sequencing

open access: yesGenome Biology, 2022
Cost-efficient library generation by early barcoding has been central in propelling single-cell RNA sequencing. Here, we optimize and validate prime-seq, an early barcoding bulk RNA-seq method.
Aleksandar Janjic   +11 more
doaj   +1 more source

Integrated Analysis of Single-Cell RNA-Seq and Bulk RNA-Seq Combined with Multiple Machine Learning Identified a Novel Immune Signature in Diabetic Nephropathy

open access: yesDiabetes, Metabolic Syndrome and Obesity, 2023
Yue-Ling Peng,1 Yan Zhang,1 Lin Pang,2 Ya-Fang Dong,3 Mu-Ye Li,4 Hui Liao,5 Rong-Shan Li1 1Department of Nephrology, Shanxi Provincial People’s Hospital (Fifth Hospital of Shanxi Medical University), Taiyuan, People’s Republic of China; 2Department of ...
Peng YL   +6 more
doaj  

Supersplat—spliced RNA-seq alignment [PDF]

open access: yesBioinformatics, 2010
Abstract Motivation: High-throughput sequencing technologies have recently made deep interrogation of expressed transcript sequences practical, both economically and temporally. Identification of intron/exon boundaries is an essential part of genome annotation, yet remains a challenge.
Bryant, Douglas W.   +4 more
openaire   +2 more sources

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