Results 41 to 50 of about 436,281 (168)
Comparison of RNA-Seq and microarray in transcriptome profiling of activated T cells.
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
L-GIREMI uncovers RNA editing sites in long-read RNA-seq
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
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
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
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Yuejun Wang,1 Mingming Zhao,2 Yu Zhang2 1Department of Nephrology, Zhejiang Aged Care Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, People’s Republic of China; 2Department of Nephrology, Xiyuan Hospital, China Academy of Chinese Medical ...
Wang Y, Zhao M, Zhang Y
doaj
Transcriptome sequencing data of wild-type and TE14 strains under normal culture ...
openaire +2 more sources
Gene expression profiling is a useful tool to predict and interrogate mechanisms of toxicity. RNA-Seq technology has emerged as an attractive alternative to traditional microarray platforms for conducting transcriptional profiling.
Mohan S. Rao +6 more
doaj +1 more source
Gel-free library preparation for next-generation RNA sequencing and small RNA quantification
Next-generation RNA sequencing (RNA-seq) is hampered by “primer dimer” (PD) artifacts and its quantitative performance reduced by polymerase fall-off (PF) at RNA modifications and secondary structures. Here we improve RNA-seq efficiency by incorporating (
Ruixi Chen +5 more
doaj +1 more source
RNA sequencing (RNA-seq) has become a standard method for profiling gene expression, yet genomic DNA (gDNA) contamination carried over to the sequencing library poses a significant challenge to data integrity.
Haibo Liu +4 more
doaj +1 more source

