Presentations

  Nathan Salomonis – Video illustrating how easy it is to analyze transcriptome datasets in AltAnalyze. Here we analyze a published single-cell gene expression dataset, supplied as a supplemental table, according to known biological groups and using a de novo ...

Bioengineering 200 – Spring 2015 Single-cell analysis with RNA sequencing, quantitative imaging and microfluidics The Graduate Group Introductory Seminar – Kevin Healy – UC Berkeley

Functional Analysis of Your RNAseq Data – Fiona McCarthy, University of Arizona The broad applicability and availability of RNASeq data has accelerated the generation of functional genomics data sets across a wide range of species. However, the end point of ...

  Infection by West Nile Virus (WNV) is a worldwide public health concern, being the most common cause of epidemic viral encephalitis in USA, yet the viral pathogenesis is not well understood. Using QIAGEN Ingenuity Pathway Analysis’ features, we were ...

Sandrine Dudoit, talks to the Toronto Bioinformatics User Group about Normalization and Differential Expression in RNA-Seq. Find out more about TorBUG at http://www.torbug.org.

MIT 7.91J Foundations of Computational and Systems Biology, Spring 2014 View the complete course: http://ocw.mit.edu/7-91JS14 Instructor: David Gifford This lecture by Prof. David Gifford is about RNA-seq (RNA sequencing), a method of characterizing RNA molecules through next-generation sequencing. He begins with the ...

Speaker: Dr. Pieter Mestdagh, Ghent University / Biogazelle, Belgium Event: Biogazelle sponsored RNA-sequencing mini-symposium (Ghent – Belgium, Jan. 14, 2015) Genome-wide studies have shown that our genome is pervasively transcribed, producing a complex pool of coding and non-coding transcripts that ...

  RNA-seq provide much more information than gene expression microarrays. In additional to gene expressions, it provides informa8on for: alternative splicing – structural changes of genes: Gene fusion. new genes/exons. splicing efficiency

  Session 3b: Microgenomics and microRNA and NGS Exosome isolation and holistic expression profiling using RNA-Seq and RT-qPCR Michael W. Pfaffl, Technical University of Münich, Germany

This webinar demonstrates how IPA can quickly distill information in data to understand upstream regulatory mechanisms and their connections to downstream functional effects to generate testable hypotheses.