RNA sequencing (RNA-Seq) is a highly effective method for studying the transcriptome qualitatively and quantitatively. It can identify the full catalog of transcripts, precisely define gene structures, and accurately measure gene expression levels.
Also referred to as RNAseq, this approach has the greatest discovery potential but, as a consequence, poses the greatest bioinformatics challenges Whole Transcriptome Sequencing (RNAseq) Strand-specific, hypothesis-free whole transcriptome analysis enables iden...
RNA-Seq uses next-generation sequencing to analyze expression across the transcriptome, enabling scientists to detect known or novel features and quantify RNA.
RNA-seq (RNA sequencing) is a high-throughput sequencing technology used to measure and analyze the number and sequence of RNA molecules in a cell or tissue. It is a transcriptomics-based approach t…
RNAseq is a comprehensive sequencing technique used to study gene expression and transcription regulation within cells.Extraction of RNA: The process begins with the extraction of total RNA, which includes both mRNA and noncoding RNA, from cells or tissue samples.Preparation of RNA ...
RNA-Seq datafrom total RNA extracted from FFPE and Fresh Frozen (FF) matched Colon Tumorand Normal Adjacent Tissue (NAT) pairs will also be presented. High concordanceis demonstrated between 97% of the identified differentially expressed transcriptsfrom the quad set samples (matched FFPE vs. FF)...
RNA sequencing, or RNA-seq, is a powerful high-throughput, next generation sequencing (NGS) technique used to examine RNA in a single cell or a population of cells [1,2]. RNA-seq provides researchers with insights into gene expression levels, which allows them to draw conclusions about how...
“Long-read sequencing results in more accurate measurements than any obtained from short-read RNA-seq to determine the presence or absence of specific isoforms.” Schertzer et al.,Cas13d-mediated isoform-specific RNA knockdown with a unified computational and experimental toolbox, bioRxiv (2023) ...
Dr. Avrum Spira, a pulmonary and critical care physician at Boston University Medical Center, started a lab with the goal of analyzing samples with whole-genome gene expression arrays, to study potential biomarkers for pulmonary disorders. Learn how Spira’s lab uses total RNA-Seq to uncover nov...
UDA-seq: universal droplet microfluidics-based combinatorial indexing for massive-scale multimodal single-cell sequencing UDA-seq incorporates a post-indexing step to enhance the throughput of droplet-based single-cell multimodal sequencing, enabling efficient large-scale single-cell analysis. Yun Li , ...