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...
Read More »DisCo – boosting the efficiency of single-cell RNA sequencing
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 ...
Read More »New computational tool predicts cell fates and genetic perturbations
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...
Read More »A single-cell atlas of Arabidopsis root
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...
Read More »Analysis workflow for single-cell RNA-sequencing data
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...
Read More »From Cancer Sequencing Data to Neoantigen Prediction: A reusable pipeline using Snakemake
RNA-Sequencing (RNA-Seq) is a sequencing technique to profile the expression levels of genes in a sample. Whole Exome Sequencing (WES) is a...
Read More »Single Cell RNA sequencing (scRNAseq) – analytical approaches to complex data
The talk covers popular analytical approaches used to work with single-cell RNAseq (scRNAseq) data. The first example shows data obtained from 3...
Read More »Effects of Key RNA-sequencing Technical Elements on Toxicity Assessment using Three Biological Replicates
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...
Read More »scShapes – A statistical framework for identifying distribution shapes in single-cell RNA-sequencing data
scShapes: A statistical framework for identifying distribution shapes in single-cell RNA-sequencing data – Malindrie Dharmaratne – iRNA – Talk – ISMB/ECCB 2021
Read More »Single cell and spatial genomics for next-generation neuroscience
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...
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