RNA sequencing has become an increasingly affordable way to profile gene expression patterns. Here researchers from the Ohio State University introduce a workflow implementing several open-source softwares that can be run on a high...
Read More »TransFlow – a modular framework for assembling and assessing accurate de novo transcriptomes in non-model organisms
The advances in high-throughput sequencing technologies are allowing more and more de novo assembling of transcriptomes from many new organisms. Some degree of automation and evaluation is...
Read More »LASER-Seq – measuring RNA structure in cells with deep sequencing
Chemical probing methods are crucial to our understanding of the structure and function of RNA molecules. The majority of chemical methods used to probe RNA structure report on Watson-Crick pairing, but tertiary structure parameters such as solvent...
Read More »Statistical analysis of differential transcript usage following Salmon quantification
Detection of differential transcript usage (DTU) from RNA-seq data is an important bioinformatic analysis that complements differential gene expression analysis. Researchers at the University of North Carolina at Chapel Hill have developed a simple workflow...
Read More »Tutorial – High-Throughput Single-Cell RNA-Seq of Cells and Nuclei
Harnessing RNA-Seq to Create Gene Expression Profiles – from Genetic Engineering News – Jennifer Chew, Adam Bemis, Ronald Lebofsky, Ph.D., Anna Quinlan, Ph.D. , Kelly Kaihara, Ph.D. Complex biological systems rely on the coordinated activities of individual cells. The function of ...
Read More »Bioconductor workflow for single-cell RNA sequencing: Normalization, dimensionality reduction, clustering, and lineage inference
Novel single-cell transcriptome sequencing assays allow researchers to measure gene expression levels at the resolution of single cells and offer the unprecendented opportunity to investigate at the molecular level fundamental biological questions, such as stem cell differentiation or the discovery ...
Read More »A practical guide to single-cell RNA-sequencing for biomedical research and clinical applications
RNA sequencing (RNA-seq) is a genomic approach for the detection and quantitative analysis of messenger RNA molecules in a biological sample and is useful for studying cellular responses. RNA-seq has fueled much discovery and innovation in medicine over recent years. ...
Read More »PLATE-Seq for genome-wide regulatory network analysis of high-throughput screens
Pharmacological and functional genomic screens play an essential role in the discovery and characterization of therapeutic targets and associated pharmacological inhibitors. Although these screens affect thousands of gene products, the typical readout is based on low complexity rather than genome-wide ...
Read More »Unleash the power within RNA-seq
RNA-sequencing (RNA-seq) is an essential technique for transcriptome studies, hundreds of analysis tools have been developed since it was debuted. Although recent efforts have attempted to assess the latest available tools, they have not evaluated the analysis workflows comprehensively to ...
Read More »Upcoming Webinar – Optimizing Single-cell RNA-sequencing Workflows
April 13, 2017 at 2:00 PM EST Hear from single cell sequencing experts, and learn about key technologies that promote cost savings while increasing the number of cells that you can include in your genetic analysis. Topics will include: • ...
Read More »