Results 1 to 10 of about 1,216,561 (310)

RNA-seq

Transcriptome sequencing data of wild-type and TE14 strains under normal culture ...
Hong Ding (23148001)
core   +3 more sources

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

PLoS 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, Wai-Ping Fung-Leung, Anton Bittner, Karen Ngo, Xuejun Liu   +4 more
doaj   +1 more source

Statistical Modeling of RNA-Seq Data

Statistical Science, 2011
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, Jiang, Hui, Wong, Wing Hung   +2 more
openaire   +5 more sources

Dissecting intratumoral myeloid cell plasticity by single cell RNA‐seq

Cancer Medicine, 2019
Tumor‐infiltrating myeloid cells are the most abundant leukocyte population within tumors. Molecular cues from the tumor microenvironment promote the differentiation of immature myeloid cells toward an immunosuppressive phenotype.
Qianqian Song, Gregory A. Hawkins, Leonard Wudel, Ping‐Chieh Chou, Elizabeth Forbes, Ashok K. Pullikuth, Liang Liu, Guangxu Jin, Lou Craddock, Umit Topaloglu, Gregory Kucera, Stacey O’Neill, Edward A. Levine, Peiqing Sun, Kounosuke Watabe, Yong Lu, Martha A. Alexander‐Miller, Boris Pasche, Lance D. Miller, Wei Zhang   +19 more
doaj   +1 more source

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

Genomics, 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

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

Human 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, Neda Ghohabi-Esfahani, Modjtaba Emadi-Baygi   +2 more
doaj   +1 more source

Integrated Analysis of Single-Cell RNA-seq and Bulk RNA-seq in the Identification of a Novel ceRNA Network and Key Biomarkers in Diabetic Kidney Disease

International Journal of General Medicine, 2022
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  

Gel-free library preparation for next-generation RNA sequencing and small RNA quantification

Communications Biology
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, Daniel Yim, Lili Liu, Michael S. DeMott, Bo Cao, Peter C. Dedon   +5 more
doaj   +1 more source

CleanUpRNAseq: An R/Bioconductor Package for Detecting and Correcting DNA Contamination in RNA-Seq Data

BioTech
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, Kai Hu, Kevin O’Connor, Michelle A. Kelliher, Lihua Julie Zhu   +4 more
doaj   +1 more source

Comparison of RNA-Seq and Microarray Gene Expression Platforms for the Toxicogenomic Evaluation of Liver From Short-Term Rat Toxicity Studies

Frontiers in Genetics, 2019
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, Terry R. Van Vleet, Rita Ciurlionis, Wayne R. Buck, Scott W. Mittelstadt, Eric A. G. Blomme, Michael J. Liguori   +6 more
doaj   +1 more source