Introduction to RNA-Seq for Researchers

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This screencast is an adaptation of a talk I (Michael Chimenti) gave here at the University of Iowa for the TEK talks series this fall, 2017. It provides an overview of RNA-Seq generally, and then delves into each of the steps providing tips and best practices along the way.

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Im an undegrad writing a thesis for my honors program. COVID destroyed my proposal and had to switch up to a remote RNAseq analysis - you've just saved my college career sir thank you

dantekillbourne

Thank you Iowa Institute for Human Genetics. Greetings from a bioeng grad student from Universidad del Cauca, Colombia.

I'm beginning an MSc project in RNA-Seq and this was a very useful primer into a difficult topic. Thanks very much for the useful information!

ReverentSteele

Very clear introduction! Really helpful for young researchers getting familiar with this technique. Thanks a thousand!

Biomeducated

Thank you SO much for this explanation! You've made such dense material very concise and clear to understand, thank you!

sofiaghani

I'm currently doing a study on the microbiome of milk and fermentation influence the composition of it. These tutorials are very useful. Thank you!

pieterdewaal

Really appreciate this explanation, as I'm having my first go at writing a protocol for a job.

tvmcharnet

Great presentation! Systematic and very easy to follow, thanks for putting this together!

StevenMGruber

Thank you very much for this incredible lecture. I loved it.

rezarezaei

This is very informative. Especially for beginner PhD students. Thank you!

lizo.

Thank you. Found it very easy to follow and helpful.

jtmidzi

Could you guys potentially consider copy-number variant discovery using NGS data? I work at a university and most of our research staff no about copy-numbers and the data you get back, but have no clue how this data is derived. The resources available are pretty high level!

benjaminsimpson

you may have made video with full explanation and splitted it in to two ...anyways good effort..nice

mhamidusman

I don't understand. If you want to detect what genes are off or on and by how much they are expressed then why not just use epigenomics instead of transcriptomics?

jessehines

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