The Neighbour Joining algorithm for phylogenetic tree estimation

The neighbour joining algorithm is the most widely used distance-based tree estimation method in phylogenetics, but biology and bioinformatics students often find it mysterious. I discuss the basis of the neighbour joining algorithm and compare it to UPGMA, including a worked example from start to finish

[@anthonyzhang6096]

extremely well made video, im taking a computational biology class and you made all these concepts such as 4 point condition, dissimilarirty matrix, and neighbor joining so much more clear, thank you so much!

[@esabelroncon4761]

You did so so well!! I was struggling with this topic till i landed on your video

[@BrainQueen1]

Great great Videos! Thank you. Could you possibly make videos on Maximum likelihood, markov properties and how recombination and mutations are used in phylogenetics, please?

[@ProfGregTuckerKellogg]

Great ideas!

[@claudiahelenagiraldoescoba2502]

Fantastic!

[@angelicavillalobolopez4056]

saved my life thank you 😍

[@dpanfilz]

AMAZINGGGGG Thank you so much!

[@rem.31]

Hi, first, thank you so much for explaining the NJ method (-: it's so helpful. Second, according to the formula you presented, the example of a divergence matrix is a bit wrongly calculated.

[@brianringham9745]

Who the hell are you…sir…what’s your qualifications

[@ProfGregTuckerKellogg]

Welcome to the internet! You may have missed the part at 4:23, or you may have missed the links to my LinkedIn profile and Google Scholar profile, both available on the "about" section of this channel.