Video

great videoo... very simple and explainatory

Thank you sir very much

Thanks!!

Based H perm, lemme just time myself like this other guy did: 0.717

V perm stills sucks nowadays lol

R' U' F' R U R' U' R' F R2 U' R' U' R U R' U R

Massive regrips lol

Why can he exec dot pi faster than me 😭

So Bray-Curtis gives you an average of all the low counts in two samples. That would mean that if at least one of the two samples has mostly low values, the BC diversity will be low. That would be the case even if both samples have the exact same values for all species, but all of them are low. Which does not make much sense, because the diversity there would be zero or null.

watching this in 2023 with DADA2 and ASVs lol

Awesome video👍🏻 Thank you!

thanks Doc!!! so clear.

Hello from 2023 👋

My goodness this is such a relief to find. Thank you!

What a nice lecture. Thans you for your help

Thank you so much !

Thank you!

awsome communicator <3

👍

i am from schoharie county in upstate ny in a very small town. im trying to find out IF THEY THINK THEY ARE GOING TO TRY TO CLEAR ME OFF MY LAND. ONCE AGAIN, NOP ANSWER , WASTED MY TIME.

Secondary structures have high conservation compared to DNA sequences. It will be difficult to assign lower ranking taxa ex genus but class or phylum may work but they are not useful as such

Hi, thanks for providing these videos. I have a question. I used spearman correlations to test associations between levels of stress and RELATIVE abundances of certain microbes. Many were significantly associated, however, the microbiome data were not normally distributed so I conducted Negative Binomial regressions as a follow-up. Now, nothing is significant and I think it's because I switched from using relative abundances in the spearman correlations to using absolute abundances for the negative binomial regressions. In which types of regressions can I continue to use RELATIVE abundances instead of absolute? Thanks!! Any tips would be EXTREMELY appreciated! p.s. I did not use the same package as you use here to run the Negative Binomial regressions. Could that be the problem?

This was really well explained, I'm definitely watching the rest of the series! Thank for taking the time to pass on your knowledge.

WHO IS HERE IN 2023

Would you please upload the rest of the course? It is very helpful.

Can't focus on the video, Dan. You're such a stud

Very clear, thank you!

Yo

Impressive organization and presentation of content! Good job, Dan!

Winning Wr average was 20.00 seconds

Winning Wr average was 20.00 seconds

Nice tutorial, thank you

Really good explanations Dan. Keep it up with the good job.

op

This series of video is better than most counterparts on coursera. Not to mention that coursera is no longer free ...

nice!!! greetings from peru

Thank you for the lecture. Is there a reason why you recommend to calculate the unifrac distance matrix in QIIME and not in R?

such a helpful video that was easy practical and perfekt thank you very much

very clear and helpful! amazing job, thank you!

What are the % in the axis, what decides them and how can we interpret them? Thank you in advance

Thank you!

where do you recommend buying stickers nowadays?

Cool

you are a life saver, thank you

Any donwstream anlaysis in R after picrust2?

Thank you very much for uploading this informative video

Thank you for your sharing, it is easy to understand.

Lol now in 2022 at 61, I am as fast as Dan then. Than again that is slow now

Great video, thanks

太难受了谷歌翻译