What is the meaning of percentages in each coordiante? i.e. PC1 13 % and PC 2 4.4 %, How can we define this percentages, when we will have to write a research paper?
Hi Dr. Knight, I am wondering instead of doing relatively abundance, could we normalize all the reads to the same sequence count by divide each sequence count to certain factor (for example, sample 1 got 30000 reads, sample 2 have 60000 sample 3 have 90000 then we divide the first read by 1, second by 2 and third by 3 and end up with each of them have 30000 reads) and from there we can consider the abundance we have as absolute abundance for statistic test. Thank you so much!
I really appreciate your tutorials. Easy to understand for beginners, thank you.
Really good explanations Dan. Keep it up with the good job.
Thank you for your sharing, it is easy to understand.
great videoo... very simple and explainatory
Very clear and concise tutorial. Easy to understand for beginners like me. Thank you!
Awesome video👍🏻 Thank you!
I really appreciate your tutorials, nicely explained
Why does nobody ever use the variance of the Chao 1 estimator?
Terrific video -- very instructive!
Thanks for this awesome video series! :)
Very clear, thank you!
Nice tutorial, thank you
Thank you for this informative series of presentation. Regarding the alpha diversity, do we need to include the normalized table as input?
Thank you for the lecture.
Thank you! Great lecture
Any example: I have two different soil samples. so what would be the alpha and beta diversity in this case.
What is the meaning of percentages in each coordiante? i.e. PC1 13 % and PC 2 4.4 %, How can we define this percentages, when we will have to write a research paper?
As far as I know, they represent the percentage of the variance explained by each principal component.
@@mohamedrefaat197 Yeh I also know but if the percentage reduce or very low in coordinates what does it indicates
Hi Dr. Knight,
I am wondering instead of doing relatively abundance, could we normalize all the reads to the same sequence count by divide each sequence count to certain factor (for example, sample 1 got 30000 reads, sample 2 have 60000 sample 3 have 90000 then we divide the first read by 1, second by 2 and third by 3 and end up with each of them have 30000 reads) and from there we can consider the abundance we have as absolute abundance for statistic test. Thank you so much!
Thank you!
Can you explain what is the diffrent between OTUs and Observed OTUs?
Very nice! Thank you
I did not really get how changes in composition happen without changes in diversity..? Can someone help?
👍
Thank you!