Tutorial: Rna Seq Experimental Design For Measuring Differential Gene Expression
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gravatar for Istvan Albert
4.5 years ago by
Istvan Albert ♦♦ 73k
University Park, USA
Istvan Albert ♦♦ 73k wrote:

I just want to call the attention to a remarkably detailed comment to a question that seems to be of great interest to many (btw make sure to vote for those posts and not this one):

How many replicates and which statistical test can be done for preliminary analysis with normalized RNA-seq count data?

with comments such as:

C: How many replicates and which statistical test can be done for preliminary analysis with normalized RNA-seq count data?

and there is also a related blog post:

Thinking about Designing RNA Seq Experiments to Measure Differential Gene Expression: The Basics

Also as noted in the comments more relevant information can be found in How much coverage do we need for an RNA-seq experiment?

rna-seq tutorial • 4.9k views
ADD COMMENTlink modified 8 months ago • written 4.5 years ago by Istvan Albert ♦♦ 73k

This is great. I also thought there were many great answers on the related question regarding coverage needed for an RNAseq experiment: How much coverage do we need for an RNA-seq experiment?

ADD REPLYlink modified 4.5 years ago by Istvan Albert ♦♦ 73k • written 4.5 years ago by Obi Griffith15k

indeed, that is also one of the best recent posts, I will edit the main post to reflect that.

ADD REPLYlink written 4.5 years ago by Istvan Albert ♦♦ 73k

Hi Istvan,

I found this when I was, um, self-googling...

The link to that old post is dead.

It lives here now: http://michelebusby.tumblr.com/post/26913184737/thinking-about-designing-rna-seq-experiments-to

I've made some updates to it. There is some nice work in yeast with some highly replicates samples now that may superscede some of it , but I think most of it is still relevant.

ADD REPLYlink written 8 months ago by Michele Busby1.6k

I have updated the main text. Thanks for the correction.

ADD REPLYlink written 8 months ago by Istvan Albert ♦♦ 73k
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