Presentations

In this video, the rpesenters will discuss the computational approaches that enable RNA-Seq data to be efficiently mapped to an organism’s genome assembly. — This video, created by Dr. Le Paliulis (Bucknell University; GEP member since 2013), accompanies a presentation ...

To fully understand the dynamic spatial and temporal interactions of a pathogen with its host, it is necessary to analyze the transcriptomes of both the host and the pathogen throughout the course of an infection. While analyses of the host ...

Single Cell RNA Sequencing Data Analysis

The goal of the HMS Initiative for RNA Medicine is to make and translate RNA discoveries into novel therapeutics and diagnostics by fostering a climate of outstanding basic, translational and clinical research with world-leading scientists and...

Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets

With the advent of Next-Generation Sequencing (NGS) technologies, numerous data is being generated every day, however, analysis remains a big hurdle to efficiently use the technology as this data requires complex multi-step processing and...

Single-cell RNA sequencing (scRNA-seq) quantifies the gene expression of individual cells in a sample, which allows distinct cell-type populations to be...

Songwei Ge, Haohan Wang, Amir Alavi, Eric Xing, Ziv Bar-Joseph Carnegie Mellon University Presented at RECOMB 2020 on June 22nd by Amir Alavi

A recording of a live Zoom training for Bioinformatics for RNA Sequencing Analysis from the Tufts Data Lab, with Wenwen Hou, Rebecca Batorsky, and Albert Tai...

RNA-Seq data analysis has become vital to understanding gene structure and expression patterns in transcriptomic studies. A typical reference genome guided RNA-Seq workflow...