Presentations

RNA Expression And Protein Sequencing – REAP-seq is a powerful multi-omic single-cell application that enables deep characterization of unique cellular subtypes and functional states by measuring the...

Bioengineers at EPFL have found a way to radically increase the efficiency of single-cell RNA-sequencing, a powerful tool that can “read” the genetic profile of an individual cell. Single-cell RNA sequencing, or “scRNA-seq” for short, is a technique that allows ...

The technique can help predict a cell’s path over time, such as what type of cell it will become. Imagine a ball thrown in the air: It curves up, then down, tracing an arc to a point on the ground...

The atlas was generated using a technique called single-cell RNA-sequencing, which samples gene expression from individual cells. By condensing the data to three dimensions, the result is a colorful...

In this presentation, Fios Genomics Bioinformatician Katerina Boufea talks through an analysis workflow for single-cell RNA-sequencing data. She explains what single-cell RNA-sequencing is before going...

RNA-Sequencing (RNA-Seq) is a sequencing technique to profile the expression levels of genes in a sample. Whole Exome Sequencing (WES) is a...

The talk covers popular analytical approaches used to work with single-cell RNAseq (scRNAseq) data. The first example shows data obtained from 3...

RNA-Sequencing (RNA-seq) has emerged as a standard approach for toxicogenomics research. Under the 3-R (reduce, refine, and replace) principles for animal welfare protection, three animals per...

scShapes: A statistical framework for identifying distribution shapes in single-cell RNA-sequencing data – Malindrie Dharmaratne – iRNA – Talk – ISMB/ECCB 2021

The ability to routinely measure gene expression within thousands of individual cells opens exciting opportunities in many domains of neurobiology. In this talk, Evan Macosko from the Stanley Center...