Introduction to RNA-Seq for Researchers
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- เผยแพร่เมื่อ 11 มิ.ย. 2024
- 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 - วิทยาศาสตร์และเทคโนโลยี
Thank you Iowa Institute for Human Genetics. Greetings from a bioeng grad student from Universidad del Cauca, Colombia.
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
Glad you found the information helpful! Good luck with your project!
Thank you SO much for this explanation! You've made such dense material very concise and clear to understand, thank you!
Very clear introduction! Really helpful for young researchers getting familiar with this technique. Thanks a thousand!
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!
Thank you very much for this incredible lecture. I loved it.
Thank you for your precious effort!
Thank you. Found it very easy to follow and helpful.
Great presentation! Systematic and very easy to follow, thanks for putting this together!
Glad it was helpful!
Really appreciate this explanation, as I'm having my first go at writing a protocol for a job.
Good explanation and tnks very much
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!
You're welcome. See our recently uploaded tutorial on metagenomics analysis too!
I may be getting into this industry. Certain jargon that you clarified me, so thank you!
You're welcome. Good luck.
This is very informative. Especially for beginner PhD students. Thank you!
You're very welcome!
Really helpful! Thanks
Tremendously!
Excellent!
Many thanks!
theng you...
thx
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!
We will consider CNV analysis for a future workshop. Thanks for the suggestion!
you may have made video with full explanation and splitted it in to two ...anyways good effort..nice
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?