I really appreciate your tutorials. Easy to understand for beginners, thank you.
@adeelabbasi73759 ай бұрын
great videoo... very simple and explainatory
@cindywang88526 жыл бұрын
Very clear and concise tutorial. Easy to understand for beginners like me. Thank you!
@gembarry82807 жыл бұрын
I really appreciate your tutorials, nicely explained
@Thinker-gd8ck3 жыл бұрын
Thank you for your sharing, it is easy to understand.
@guspapini2 жыл бұрын
Really good explanations Dan. Keep it up with the good job.
@AmirHTofangchi Жыл бұрын
Awesome video👍🏻 Thank you!
@benerentraut6316 жыл бұрын
Why does nobody ever use the variance of the Chao 1 estimator?
@CLSooth7 жыл бұрын
Thanks for this awesome video series! :)
@paulMcGlothin5 жыл бұрын
Terrific video -- very instructive!
@marcdittmann955 жыл бұрын
I did not really get how changes in composition happen without changes in diversity..? Can someone help?
@holozoan2 жыл бұрын
Very clear, thank you!
@nicolasortiz65233 жыл бұрын
Thank you! Great lecture
@AqleemAbbas6 жыл бұрын
Any example: I have two different soil samples. so what would be the alpha and beta diversity in this case.
@adihirsh24105 жыл бұрын
Can you explain what is the diffrent between OTUs and Observed OTUs?
@monzurmorshed.4 жыл бұрын
Thank you for the lecture.
@srijanamukhia17512 жыл бұрын
Nice tutorial, thank you
@AqleemAbbas6 жыл бұрын
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?
@mohamedrefaat1976 жыл бұрын
As far as I know, they represent the percentage of the variance explained by each principal component.
@AqleemAbbas6 жыл бұрын
@@mohamedrefaat197 Yeh I also know but if the percentage reduce or very low in coordinates what does it indicates
@mahdighanbari23848 жыл бұрын
Thank you for this informative series of presentation. Regarding the alpha diversity, do we need to include the normalized table as input?
@hanhnguyen847 жыл бұрын
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!