Results 71 to 80 of about 588,819 (199)

Exploring RNA-Seq Data Analysis Through Visualization Techniques and Tools: A Systematic Review of Opportunities and Limitations for Clinical Applications

open access: yesBioengineering
RNA sequencing (RNA-seq) has emerged as a prominent resource for transcriptomic analysis due to its ability to measure gene expression in a highly sensitive and accurate manner.
Farhana Manzoor   +2 more
doaj   +1 more source

European sea bass (Dicentrarchus labrax) skin and scale transcriptomes [PDF]

open access: yes, 2017
Fish skin and their appendages, the mineralized scales, are important organs for protection and homeostasis, but little is known about their specific transcript or protein repertoire.
Pinto, Patricia IS   +2 more
core   +1 more source

ROCK signalling induced gene expression changes in mouse pancreatic ductal adenocarcinoma cells [PDF]

open access: yes, 2016
The RhoA and RhoC GTPases act via the ROCK1 and ROCK2 kinases to promote actomyosin contraction, resulting in directly induced changes in cytoskeleton structures and altered gene transcription via several possible indirect routes.
Clark, William   +3 more
core   +1 more source

L-GIREMI uncovers RNA editing sites in long-read RNA-seq

open access: yesGenome Biology, 2023
Although long-read RNA-seq is increasingly applied to characterize full-length transcripts it can also enable detection of nucleotide variants, such as genetic mutations or RNA editing sites, which is significantly under-explored.
Zhiheng Liu   +7 more
doaj   +1 more source

Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts. [PDF]

open access: yes, 2019
It is estimated that 350 million individuals worldwide suffer from rare diseases, which are predominantly caused by mutation in a single gene1. The current molecular diagnostic rate is estimated at 50%, with whole-exome sequencing (WES) among the most ...
Ashley, Euan A   +35 more
core  

Observation weights unlock bulk RNA-seq tools for zero inflation and single-cell applications [PDF]

open access: yes, 2018
Dropout events in single-cell RNA sequencing (scRNA-seq) cause many transcripts to go undetected and induce an excess of zero read counts, leading to power issues in differential expression (DE) analysis.
Clement, Lieven   +8 more
core   +7 more sources

From bulk RNA sequencing to spatial transcriptomics: a comparative review of differential gene expression analysis methods

open access: yesHuman Genomics
Background Transcriptome analysis is essential to dissect the molecular mechanisms underlying phenotypic differences and disease mechanisms. Traditionally, microarrays were used, but RNA sequencing (RNA-seq) has become a more powerful and reproducible ...
Maryam Kalantari-Dehaghi   +2 more
doaj   +1 more source

PrimerSeq: Design and Visualization of RT-PCR Primers for Alternative Splicing Using RNA-seq Data

open access: yesGenomics, Proteomics & Bioinformatics, 2014
The vast majority of multi-exon genes in higher eukaryotes are alternatively spliced and changes in alternative splicing (AS) can impact gene function or cause disease.
Collin Tokheim, Juw Won Park, Yi Xing
doaj   +1 more source

A High-Throughput Method for Illumina RNA-Seq Library Preparation. [PDF]

open access: yes, 2012
With the introduction of cost effective, rapid, and superior quality next generation sequencing techniques, gene expression analysis has become viable for labs conducting small projects as well as large-scale gene expression analysis experiments. However,
Daniel H Chitwood   +8 more
core   +2 more sources

Comparison of RNA-Seq and microarray in transcriptome profiling of activated T cells.

open access: yesPLoS ONE, 2014
To demonstrate the benefits of RNA-Seq over microarray in transcriptome profiling, both RNA-Seq and microarray analyses were performed on RNA samples from a human T cell activation experiment.
Shanrong Zhao   +4 more
doaj   +1 more source

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