Introduction to RNA-Seq for Researchers

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.
Find out more about us at:
medicine.uiowa.edu/humangenet...
Our bioinformatics division can help you with your RNA-Seq analysis:
medicine.uiowa.edu/humangenet...
You can find me on the web at:
www.michaelchimenti.com

[@sofiaghani5742]

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

[@ReverentSteele]

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!

[@Biomeducated]

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

[@dantekillbourne4747]

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

[@iowainstituteofhumangeneti7584]

Glad you found the information helpful! Good luck with your project!

[@rezarezaei4868]

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

[@hbolgun]

Thank you for your precious effort!

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

[@tvmcharnet]

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

[@jtmidzi1]

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

[@pieterdewaal1978]

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!

[@iowainstituteofhumangeneti7584]

You're welcome. See our recently uploaded tutorial on metagenomics analysis too!

[@StevenMGruber]

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

[@iowainstituteofhumangeneti7584]

Glad it was helpful!

[@alkasimmuhammadsulaiman1654]

Good explanation and tnks very much

[@XianOrtiz7]

I may be getting into this industry. Certain jargon that you clarified me, so thank you!

[@iowainstituteofhumangeneti7584]

You're welcome. Good luck.

[@lizo.3]

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

[@iowainstituteofhumangeneti7584]

You're very welcome!

[@katwastaken223]

Really helpful! Thanks

[@Biomeducated]

Tremendously!

[@km2052]

thx

[@Shaq0112]

Excellent!

[@iowainstituteofhumangeneti7584]

Many thanks!

[@azchannel4045]

theng you...

[@benjaminsimpson6691]

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!

[@iowainstituteofhumangeneti7584]

We will consider CNV analysis for a future workshop. Thanks for the suggestion!

[@mhamidusman]

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

[@jessehines4044]

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?